{"id":5393,"date":"2023-01-07T10:46:28","date_gmt":"2023-01-07T10:46:28","guid":{"rendered":"https:\/\/kpimining.com\/software-solutions\/"},"modified":"2024-09-04T09:14:43","modified_gmt":"2024-09-04T09:14:43","slug":"solucoes-de-software","status":"publish","type":"page","link":"https:\/\/kpimining.com\/pt\/solucoes-de-software\/","title":{"rendered":"Solu\u00e7\u00f5es de software"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"5393\" class=\"elementor elementor-5393 elementor-189\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1fd9129 elementor-section-full_width elementor-section-content-middle elementor-section-height-default elementor-section-height-default\" data-id=\"1fd9129\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-745c437\" data-id=\"745c437\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-2de5b40 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2de5b40\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-76aaa82\" data-id=\"76aaa82\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ee01f49 elementor-widget elementor-widget-heading\" data-id=\"ee01f49\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-default\">KPI-COSMO Stochastic Mining Optimizer <\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4d27d49 elementor-widget elementor-widget-heading\" data-id=\"4d27d49\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">O primeiro software de otimiza\u00e7\u00e3o estoc\u00e1stica e simult\u00e2nea para cadeias de valor mineral.<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5d1d001 elementor-widget elementor-widget-heading\" data-id=\"5d1d001\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-default\">Gere planos de produ\u00e7\u00e3o otimizados, aumente o valor presente l\u00edquido (VPL) e amplie as reservas minerais com um software inteligente e inovador.<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e852ce8 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"e852ce8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"#elementor-action%3Aaction%3Dpopup%3Aopen%26settings%3DeyJpZCI6NTU5MCwidG9nZ2xlIjpmYWxzZX0%3D\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Solicite uma demonstra\u00e7\u00e3o<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-9cf5927 elementor-section-full_width elementor-section-stretched elementor-section-height-default elementor-section-height-default\" data-id=\"9cf5927\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8cda9b5\" data-id=\"8cda9b5\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-64a795d elementor-widget elementor-widget-image\" data-id=\"64a795d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"2880\" height=\"941\" src=\"https:\/\/kpimining.com\/wp-content\/uploads\/2024\/09\/040924023848image.png\" class=\"attachment-full size-full wp-image-6049\" alt=\"\" srcset=\"https:\/\/kpimining.com\/wp-content\/uploads\/2024\/09\/040924023848image.png 2880w, https:\/\/kpimining.com\/wp-content\/uploads\/2024\/09\/040924023848image-300x98.png 300w, https:\/\/kpimining.com\/wp-content\/uploads\/2024\/09\/040924023848image-1024x335.png 1024w, https:\/\/kpimining.com\/wp-content\/uploads\/2024\/09\/040924023848image-768x251.png 768w, https:\/\/kpimining.com\/wp-content\/uploads\/2024\/09\/040924023848image-1536x502.png 1536w, https:\/\/kpimining.com\/wp-content\/uploads\/2024\/09\/040924023848image-2048x669.png 2048w\" sizes=\"(max-width: 2880px) 100vw, 2880px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-eac55a2 circle-right-bg software-solutions-1 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"eac55a2\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-35a74bd\" data-id=\"35a74bd\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-06d7194 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"06d7194\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-wider\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-81781f2\" data-id=\"81781f2\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-818a18b elementor-widget elementor-widget-heading\" data-id=\"818a18b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Aumente o valor presente l\u00edquido do projeto ou mina em opera\u00e7\u00e3o <span style=\"color: var(--e-global-color-543a646)\">em at\u00e9 40%.<\/span><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-d2fc4ff\" data-id=\"d2fc4ff\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f83f14b elementor-widget elementor-widget-text-editor\" data-id=\"f83f14b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tO <span style=\"color: var(--e-global-color-543a646);\"><b>KPI-COSMO<\/b><\/span> foi projetado para permitir que nossos clientes otimizem os planos de lavra com gerenciamento de risco integrado, criando modelos digitais de sua cadeia de valor mineral. N\u00e3o se trata apenas de otimizar uma \u00fanica mina, mas todo o complexo mineral com v\u00e1rias minas a c\u00e9u aberto, pilhas de estoque, plantas de processamento e muito mais, contendo fluxos complexos de materiais, custos e receitas. Tudo isso levando em conta incertezas geol\u00f3gicas, financeiras e ambientais.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-9f900ef elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9f900ef\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-227535a\" data-id=\"227535a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0924c9c elementor-widget elementor-widget-heading\" data-id=\"0924c9c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Principais Funcionalidades<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-97c26b7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"97c26b7\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-wider\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-0981aac\" data-id=\"0981aac\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c3f21ed elementor-position-left icon_txt elementor-vertical-align-top elementor-widget elementor-widget-image-box\" data-id=\"c3f21ed\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-image-box-wrapper\"><figure class=\"elementor-image-box-img\"><img decoding=\"async\" width=\"79\" height=\"79\" data-src=\"https:\/\/kpimining.com\/wp-content\/uploads\/2023\/01\/1-Simultaneous-Stochastic-Optimization.svg\" class=\"attachment-full size-full wp-image-530 lazyload\" alt=\"1-Simultaneous Stochastic Optimization\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 79px; --smush-placeholder-aspect-ratio: 79\/79;\" \/><\/figure><div class=\"elementor-image-box-content\"><h4 class=\"elementor-image-box-title\">Otimiza\u00e7\u00e3o estoc\u00e1stica e simult\u00e2nea<\/h4><p class=\"elementor-image-box-description\">Otimize simultaneamente o plano estrat\u00e9gico de produ\u00e7\u00e3o da sua cadeia de valor mineral (contendo v\u00e1rias minas a c\u00e9u aberto, pilhas de estoque, dep\u00f3sitos de est\u00e9ril, plantas e mais) com complexos fluxos e transforma\u00e7\u00f5es de materiais.<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-b4b307e\" data-id=\"b4b307e\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a9e8bea elementor-position-left icon_txt elementor-vertical-align-top elementor-widget elementor-widget-image-box\" data-id=\"a9e8bea\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-image-box-wrapper\"><figure class=\"elementor-image-box-img\"><img decoding=\"async\" width=\"79\" height=\"79\" data-src=\"https:\/\/kpimining.com\/wp-content\/uploads\/2023\/01\/6-Geostatistical-and-other-Monte-Carlo-simulations.svg\" class=\"attachment-full size-full wp-image-535 lazyload\" alt=\"6-Geostatistical and other Monte Carlo simulations\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 79px; --smush-placeholder-aspect-ratio: 79\/79;\" \/><\/figure><div class=\"elementor-image-box-content\"><h4 class=\"elementor-image-box-title\">Simula\u00e7\u00f5es geoestat\u00edsticas e outras simula\u00e7\u00f5es de Monte Carlo<\/h4><p class=\"elementor-image-box-description\">Use simula\u00e7\u00f5es do dep\u00f3sito mineral (teores, tipos de materiais, propriedades geometal\u00fargicas, etc.), bem como simula\u00e7\u00f5es de pre\u00e7os de metais, indicadores operacionais e muito mais.<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-233430e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"233430e\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-wider\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-6e09d1c\" data-id=\"6e09d1c\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b756799 elementor-position-left icon_txt elementor-vertical-align-top elementor-widget elementor-widget-image-box\" data-id=\"b756799\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-image-box-wrapper\"><figure class=\"elementor-image-box-img\"><img decoding=\"async\" width=\"79\" height=\"79\" data-src=\"https:\/\/kpimining.com\/wp-content\/uploads\/2023\/01\/2-Schedule-driven-optimized-pit-limits.svg\" class=\"attachment-full size-full wp-image-531 lazyload\" alt=\"2-Schedule-driven optimized pit limits\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 79px; --smush-placeholder-aspect-ratio: 79\/79;\" \/><\/figure><div class=\"elementor-image-box-content\"><h4 class=\"elementor-image-box-title\">Limites de cava gerados pela otimiza\u00e7\u00e3o do sequenciamento<\/h4><p class=\"elementor-image-box-description\">Obtenha limites de cava realmente otimizados para v\u00e1rias minas a c\u00e9u aberto, em vez de definir tais limites antecipadamente e separadamente para cada mina.<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-f029a2d\" data-id=\"f029a2d\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6bf0451 elementor-position-left icon_txt elementor-vertical-align-top elementor-widget elementor-widget-image-box\" data-id=\"6bf0451\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-image-box-wrapper\"><figure class=\"elementor-image-box-img\"><img decoding=\"async\" width=\"79\" height=\"79\" data-src=\"https:\/\/kpimining.com\/wp-content\/uploads\/2023\/01\/7-Simultaneously-optimized-cut-off-grades.svg\" class=\"attachment-full size-full wp-image-536 lazyload\" alt=\"7-Simultaneously optimized cut-off grades\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 79px; --smush-placeholder-aspect-ratio: 79\/79;\" \/><\/figure><div class=\"elementor-image-box-content\"><h4 class=\"elementor-image-box-title\">Teores de corte otimizados simultaneamente<\/h4><p class=\"elementor-image-box-description\">Otimize os teores de corte de forma integrada com outros componentes como as sequ\u00eancias de extra\u00e7\u00e3o, os v\u00e1rios fluxos de processamento, estrat\u00e9gias de pilhas de estoque, etc.<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-14b1f8d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"14b1f8d\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-wider\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-a147ba0\" data-id=\"a147ba0\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-62ba04a elementor-position-left icon_txt elementor-vertical-align-top elementor-widget elementor-widget-image-box\" data-id=\"62ba04a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-image-box-wrapper\"><figure class=\"elementor-image-box-img\"><img decoding=\"async\" width=\"79\" height=\"79\" data-src=\"https:\/\/kpimining.com\/wp-content\/uploads\/2023\/01\/3-More-sustainable-schedules.svg\" class=\"attachment-full size-full wp-image-532 lazyload\" alt=\"3-More sustainable schedules\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 79px; --smush-placeholder-aspect-ratio: 79\/79;\" \/><\/figure><div class=\"elementor-image-box-content\"><h4 class=\"elementor-image-box-title\">Planos de produ\u00e7\u00e3o mais sustent\u00e1veis<\/h4><p class=\"elementor-image-box-description\">Integre o gerenciamento de res\u00edduos, a neutraliza\u00e7\u00e3o de rochas \u00e1cidas e outros aspectos ambientais no mesmo modelo de otimiza\u00e7\u00e3o .<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-b615d08\" data-id=\"b615d08\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1001552 elementor-position-left icon_txt elementor-vertical-align-top elementor-widget elementor-widget-image-box\" data-id=\"1001552\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-image-box-wrapper\"><figure class=\"elementor-image-box-img\"><img decoding=\"async\" width=\"79\" height=\"79\" data-src=\"https:\/\/kpimining.com\/wp-content\/uploads\/2023\/01\/8-Modeling-of-complex-cost-and-revenue-structures.svg\" class=\"attachment-full size-full wp-image-537 lazyload\" alt=\"8-Modeling of complex cost and revenue structures\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 79px; --smush-placeholder-aspect-ratio: 79\/79;\" \/><\/figure><div class=\"elementor-image-box-content\"><h4 class=\"elementor-image-box-title\">Modelagem de estruturas complexas de custo e receita<\/h4><p class=\"elementor-image-box-description\">Modele fun\u00e7\u00f5es complexas para os fluxos de caixa, receitas, custos operacionais fixos e vari\u00e1veis para a otimiza\u00e7\u00e3o dos planos de longo prazo.<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-8808b3f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"8808b3f\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-wider\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-a0a0037\" data-id=\"a0a0037\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0ebd1d5 elementor-position-left icon_txt elementor-vertical-align-top elementor-widget elementor-widget-image-box\" data-id=\"0ebd1d5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-image-box-wrapper\"><figure class=\"elementor-image-box-img\"><img decoding=\"async\" width=\"79\" height=\"79\" data-src=\"https:\/\/kpimining.com\/wp-content\/uploads\/2023\/01\/4-Practical-block-based-extraction-sequences.svg\" class=\"attachment-full size-full wp-image-533 lazyload\" alt=\"4-Practical block-based extraction sequences\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 79px; --smush-placeholder-aspect-ratio: 79\/79;\" \/><\/figure><div class=\"elementor-image-box-content\"><h4 class=\"elementor-image-box-title\">Sequ\u00eancias de extra\u00e7\u00e3o operacionaliz\u00e1veis em escala direta de blocos<\/h4><p class=\"elementor-image-box-description\">Obtenha sequ\u00eancias de extra\u00e7\u00e3o que melhor representem a seletividade de lavra considerando, ao mesmo tempo, v\u00e1rias restri\u00e7\u00f5es operacionais como \u00e2ngulos de talude, taxas de avan\u00e7o vertical, largura m\u00ednima de pra\u00e7a\/bancada, entre outros.<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-b41e115\" data-id=\"b41e115\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4eb3c4c elementor-position-left icon_txt elementor-vertical-align-top elementor-widget elementor-widget-image-box\" data-id=\"4eb3c4c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-image-box-wrapper\"><figure class=\"elementor-image-box-img\"><img decoding=\"async\" width=\"79\" height=\"79\" data-src=\"https:\/\/kpimining.com\/wp-content\/uploads\/2023\/01\/9-Risk-managed-production-schedules.svg\" class=\"attachment-full size-full wp-image-538 lazyload\" alt=\"9-Risk-managed production schedules\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 79px; --smush-placeholder-aspect-ratio: 79\/79;\" \/><\/figure><div class=\"elementor-image-box-content\"><h4 class=\"elementor-image-box-title\">Planos de produ\u00e7\u00e3o com gerenciamento de riscos integrado<\/h4><p class=\"elementor-image-box-description\">Gere planos de produ\u00e7\u00e3o mais confi\u00e1veis gerenciando e quantificando o risco associado ao n\u00e3o cumprimento das metas anuais de produ\u00e7\u00e3o.<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-0773b07 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0773b07\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-wider\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-e811cd3\" data-id=\"e811cd3\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-95410c9 elementor-position-left icon_txt elementor-vertical-align-top elementor-widget elementor-widget-image-box\" data-id=\"95410c9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-image-box-wrapper\"><figure class=\"elementor-image-box-img\"><img decoding=\"async\" width=\"79\" height=\"79\" data-src=\"https:\/\/kpimining.com\/wp-content\/uploads\/2023\/01\/5-Probabilistic-reporting-dashboards.svg\" class=\"attachment-full size-full wp-image-534 lazyload\" alt=\"5-Probabilistic reporting dashboards\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 79px; --smush-placeholder-aspect-ratio: 79\/79;\" \/><\/figure><div class=\"elementor-image-box-content\"><h4 class=\"elementor-image-box-title\">Dashboard com reportes probabil\u00edsticos<\/h4><p class=\"elementor-image-box-description\">Customize e visualize relat\u00f3rios probabil\u00edsticos para todas as m\u00e9tricas de produ\u00e7\u00e3o (fluxo de caixa, teores, tonelagens, custos, etc.) e avalie as possibilidades de cumprimento das metas de produ\u00e7\u00e3o.<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-4542e59\" data-id=\"4542e59\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-818d652 elementor-position-left icon_txt elementor-vertical-align-top elementor-widget elementor-widget-image-box\" data-id=\"818d652\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-image-box-wrapper\"><figure class=\"elementor-image-box-img\"><img decoding=\"async\" width=\"79\" height=\"79\" data-src=\"https:\/\/kpimining.com\/wp-content\/uploads\/2023\/01\/10-3D-visualization.svg\" class=\"attachment-full size-full wp-image-539 lazyload\" alt=\"10-3D visualization\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 79px; --smush-placeholder-aspect-ratio: 79\/79;\" \/><\/figure><div class=\"elementor-image-box-content\"><h4 class=\"elementor-image-box-title\">Visualiza\u00e7\u00e3o em 3D<\/h4><p class=\"elementor-image-box-description\">Visualize e compare as sequ\u00eancias de extra\u00e7\u00e3o otimizadas e os limites de cava otimizados de suas v\u00e1rias minas a c\u00e9u aberto, bem como as simula\u00e7\u00f5es geoestat\u00edsticas do dep\u00f3sito mineral.<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0abee80 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0abee80\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-16aa9dc\" data-id=\"16aa9dc\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-3e6612b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3e6612b\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-16 elementor-inner-column elementor-element elementor-element-0e38f7f\" data-id=\"0e38f7f\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-inner-column elementor-element elementor-element-1f34163\" data-id=\"1f34163\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-50ad34e elementor-widget elementor-widget-heading\" data-id=\"50ad34e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Benef\u00edcios do KPI-COSMO comparado aos softwares convencionais de planejamento de mina<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-16 elementor-inner-column elementor-element elementor-element-030dcbe\" data-id=\"030dcbe\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-22c8f3b elementor-section-content-middle circle-right-bg software-solutions-2 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"22c8f3b\" data-element_type=\"section\" data-e-type=\"section\" id=\"vpl\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-wider\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-0148430\" data-id=\"0148430\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-11e2d6a ss_img elementor-widget elementor-widget-image\" data-id=\"11e2d6a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1000\" height=\"1000\" data-src=\"https:\/\/kpimining.com\/wp-content\/uploads\/2024\/08\/NPV-Graph-Portuguese.png\" class=\"attachment-full size-full wp-image-5955 lazyload\" alt=\"\" data-srcset=\"https:\/\/kpimining.com\/wp-content\/uploads\/2024\/08\/NPV-Graph-Portuguese.png 1000w, https:\/\/kpimining.com\/wp-content\/uploads\/2024\/08\/NPV-Graph-Portuguese-300x300.png 300w, https:\/\/kpimining.com\/wp-content\/uploads\/2024\/08\/NPV-Graph-Portuguese-150x150.png 150w, https:\/\/kpimining.com\/wp-content\/uploads\/2024\/08\/NPV-Graph-Portuguese-768x768.png 768w\" data-sizes=\"(max-width: 1000px) 100vw, 1000px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1000px; --smush-placeholder-aspect-ratio: 1000\/1000;\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-afe1a1b\" data-id=\"afe1a1b\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-38b724e elementor-widget elementor-widget-heading\" data-id=\"38b724e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Otimize simultaneamente toda a sua programa\u00e7\u00e3o de produ\u00e7\u00e3o.<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-022a89e elementor-widget elementor-widget-text-editor\" data-id=\"022a89e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>O KPI-COSMO otimiza simultaneamente todo o plano de produ\u00e7\u00e3o, ou seja, as sequ\u00eancias de extra\u00e7\u00e3o, os teores de corte e os fluxos de materiais em toda a cadeia mineral, levando em considera\u00e7\u00e3o incertezas e variabilidades. V\u00e1rios estudos de caso demonstram que os planos de produ\u00e7\u00e3o estoc\u00e1sticos e simult\u00e2neos gerados com o KPI-COSMO possuem um VPL at\u00e9 40% maior do que os obtidos por m\u00e9todos convencionais.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-17ce0e2 elementor-widget elementor-widget-text-editor\" data-id=\"17ce0e2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tPor outro lado, os planos de produ\u00e7\u00e3o gerados pelos softwares convencionais de planejamento de mina desviam-se muito do VPL \u00f3timo para o projeto. Esses planos de lavra s\u00e3o restritos por limites de cava e pushbacks predeterminados, que n\u00e3o maximizam diretamente o VPL, nem consideram todas as poss\u00edveis rotas de materiais em toda a cadeia de valor.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-a658b1a elementor-section-content-middle elementor-reverse-mobile elementor-reverse-tablet elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a658b1a\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-wider\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-fb099f3\" data-id=\"fb099f3\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6041955 elementor-widget elementor-widget-heading\" data-id=\"6041955\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Proje\u00e7\u00f5es de produ\u00e7\u00e3o que atendem melhor \u00e0s metas de projeto.<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d6996b4 elementor-widget elementor-widget-text-editor\" data-id=\"d6996b4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tO KPI-COSMO n\u00e3o apenas maximiza o VPL, mas tamb\u00e9m gerencia dinamicamente o risco decorrente da incerteza e da variabilidade associada aos par\u00e2metros geol\u00f3gicos, t\u00e9cnicos, financeiros e ambientais. Como resultado, o KPI-COSMO gera planos de produ\u00e7\u00e3o mais confi\u00e1veis para as cadeias de valor mineral, com risco minimizado at\u00e9 mesmo em rela\u00e7\u00e3o a metas de produ\u00e7\u00e3o muito restritivas.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9ae02c3 elementor-widget elementor-widget-text-editor\" data-id=\"9ae02c3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tAs proje\u00e7\u00f5es de produ\u00e7\u00e3o geradas por softwares convencionais de planejamento de mina possuem um risco significativo de n\u00e3o se concretizarem. Essas solu\u00e7\u00f5es se baseiam em um \u00fanico cen\u00e1rio para os diferentes dados de entrada (modelo de blocos estimado, pre\u00e7o do metal, recupera\u00e7\u00e3o, indicadores de opera\u00e7\u00e3o, etc.), portanto, n\u00e3o conseguem gerenciar o risco no processo de otimiza\u00e7\u00e3o.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-22bbb20\" data-id=\"22bbb20\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-24e59da ss_img elementor-widget elementor-widget-image\" data-id=\"24e59da\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1000\" height=\"1000\" data-src=\"https:\/\/kpimining.com\/wp-content\/uploads\/2024\/08\/Mill-Feed-Tonnage-Graph-Portuguese.png\" class=\"attachment-full size-full wp-image-5957 lazyload\" alt=\"\" data-srcset=\"https:\/\/kpimining.com\/wp-content\/uploads\/2024\/08\/Mill-Feed-Tonnage-Graph-Portuguese.png 1000w, https:\/\/kpimining.com\/wp-content\/uploads\/2024\/08\/Mill-Feed-Tonnage-Graph-Portuguese-300x300.png 300w, https:\/\/kpimining.com\/wp-content\/uploads\/2024\/08\/Mill-Feed-Tonnage-Graph-Portuguese-150x150.png 150w, https:\/\/kpimining.com\/wp-content\/uploads\/2024\/08\/Mill-Feed-Tonnage-Graph-Portuguese-768x768.png 768w\" data-sizes=\"(max-width: 1000px) 100vw, 1000px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1000px; --smush-placeholder-aspect-ratio: 1000\/1000;\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-6eb16c2 elementor-section-content-middle circle-left-bg software-solutions-3 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6eb16c2\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-wider\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-f928f5e\" data-id=\"f928f5e\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a92705d ss_img elementor-widget elementor-widget-image\" data-id=\"a92705d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1000\" height=\"1000\" data-src=\"https:\/\/kpimining.com\/wp-content\/uploads\/2024\/08\/3D-Visualizer-Portuguese.png\" class=\"attachment-full size-full wp-image-5956 lazyload\" alt=\"\" data-srcset=\"https:\/\/kpimining.com\/wp-content\/uploads\/2024\/08\/3D-Visualizer-Portuguese.png 1000w, https:\/\/kpimining.com\/wp-content\/uploads\/2024\/08\/3D-Visualizer-Portuguese-300x300.png 300w, https:\/\/kpimining.com\/wp-content\/uploads\/2024\/08\/3D-Visualizer-Portuguese-150x150.png 150w, https:\/\/kpimining.com\/wp-content\/uploads\/2024\/08\/3D-Visualizer-Portuguese-768x768.png 768w\" data-sizes=\"(max-width: 1000px) 100vw, 1000px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1000px; --smush-placeholder-aspect-ratio: 1000\/1000;\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-88bc860\" data-id=\"88bc860\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-84d696e elementor-widget elementor-widget-heading\" data-id=\"84d696e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Limites de cava otimizados at\u00e9 25% maiores e metal recuperado mais elevado.<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fb783af elementor-widget elementor-widget-text-editor\" data-id=\"fb783af\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tO KPI-COSMO gera limites de cava a partir do resultado de otimiza\u00e7\u00e3o do sequenciamento e que, ao mesmo tempo, melhor compreende a distribui\u00e7\u00e3o espacial dos teores dos dep\u00f3sitos minerais. Os limites de cava gerados s\u00e3o fisicamente diferentes e consistentemente maiores (at\u00e9 25%), com maior metal recuperado (at\u00e9 30%), em compara\u00e7\u00e3o a algoritmos convencionais como Lerchs-Grossmann, Pseudoflow, etc.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ea4f29b elementor-widget elementor-widget-text-editor\" data-id=\"ea4f29b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tOs limites de cava gerados por algoritmos convencionais s\u00e3o claramente sub-\u00f3timos. Eles s\u00e3o definidos muito antes do processo de sequenciamento por algoritmos que n\u00e3o maximizam diretamente o VPL. Al\u00e9m disso, tais algoritmos baseiam-se no valor econ\u00f4mico de blocos, o que exige um destino predefinido para o bloco e n\u00e3o levam em conta sua blendagem com outros blocos lavrados.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-daa9d77 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"daa9d77\" data-element_type=\"section\" data-e-type=\"section\" id=\"kpi-faq\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-a0954f5\" data-id=\"a0954f5\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d4240fd elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"d4240fd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-34ccb4c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"34ccb4c\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-2b16a24\" data-id=\"2b16a24\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8ed8a3e elementor-widget elementor-widget-heading\" data-id=\"8ed8a3e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Perguntas frequentes <\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7786e54 elementor-widget elementor-widget-text-editor\" data-id=\"7786e54\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div>Tem uma pergunta? N\u00f3s temos as respostas. Se n\u00e3o encontrar sua pergunta, fale conosco <a style=\"color: #3d5f5d;\" href=\"https:\/\/kpimining.com\/pt\/entre-em-contato\/\"><u>aqui<\/u><\/a>.<\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-ad2a16c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ad2a16c\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-933972d\" data-id=\"933972d\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9f1c73c elementor-widget elementor-widget-heading\" data-id=\"9f1c73c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Resultados<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-06aed2c div_faq elementor-widget elementor-widget-accordion\" data-id=\"06aed2c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"accordion.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-accordion\">\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-7001\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-7001\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><i class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Por que o KPI-COSMO gera um VPL mais alto?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-7001\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-7001\">O KPI-COSMO otimiza v\u00e1rios componentes, desde as minas at\u00e9 os produtos, de forma integrada, considerando a sinergias operacionais em toda a cadeia de valor. Isso inclui o sequenciamento das minas, destinos de materiais (teores de corte), rotas de materiais, blendagem, concentra\u00e7\u00e3o, metalurgia, estruturas complexas de custos\/receitas e aspectos de ambientais. O KPI-COSMO tamb\u00e9m permite gerenciar os riscos que afetam toda a cadeia de valor ao integrar simula\u00e7\u00f5es de teores, tipos de materiais, propriedades geometal\u00fargicas, pre\u00e7os de metais, recupera\u00e7\u00f5es, desempenho de equipamentos etc. Ao combinar a estocasticidade e simultaneidade, o KPI-COSMO demonstra gerar um VPL significativamente maior em compara\u00e7\u00e3o com os planos de produ\u00e7\u00e3o de longo prazo gerados por softwares convencionais.<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-7002\" class=\"elementor-tab-title\" data-tab=\"2\" role=\"button\" aria-controls=\"elementor-tab-content-7002\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><i class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Por que os planos de produ\u00e7\u00e3o do KPI-COSMO s\u00e3o mais confi\u00e1veis?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-7002\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"region\" aria-labelledby=\"elementor-tab-title-7002\">Al\u00e9m da maximiza\u00e7\u00e3o do VPL, o modelo de otimiza\u00e7\u00e3o estoc\u00e1stico do KPI-COSMO tem um componente de gerenciamento de risco. Ao usar as simula\u00e7\u00f5es de v\u00e1rias fontes de incerteza (geol\u00f3gicas ou econ\u00f4micas), o KPI-COSMO permite minimizar os desvios associados a v\u00e1rias metas de produ\u00e7\u00e3o, antecipando a extra\u00e7\u00e3o de \u00e1reas com menor risco e postergando \u00e1reas de risco elevado. Isso difere dos planos de lavra gerados convencionalmente, que n\u00e3o conseguem gerenciar diretamente o risco. Como resultado, as opera\u00e7\u00f5es de mina s\u00e3o frequentemente incapazes de atingir as metas de produ\u00e7\u00e3o. Al\u00e9m de um VPL mais alto, o KPI-COSMO fornece previs\u00f5es de produ\u00e7\u00e3o de longo prazo com menor risco envolvido.<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-7003\" class=\"elementor-tab-title\" data-tab=\"3\" role=\"button\" aria-controls=\"elementor-tab-content-7003\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><i class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Qual \u00e9 a diferen\u00e7a entre avalia\u00e7\u00e3o de risco e an\u00e1lise de sensibilidade?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-7003\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"3\" role=\"region\" aria-labelledby=\"elementor-tab-title-7003\">A an\u00e1lise de sensibilidade \u00e9 uma pr\u00e1tica padr\u00e3o no planejamento de mina. Essa abordagem geralmente consiste em aplicar diferentes fatores de aumento ou diminui\u00e7\u00e3o a um ou a um conjunto de par\u00e2metros usados no processo de planejamento de mina. Essa abordagem \u00e9 valiosa para avaliar os geradores de valor e os gargalos. Por\u00e9m, a principal limita\u00e7\u00e3o da an\u00e1lise de sensibilidade \u00e9 que ela n\u00e3o fornece relat\u00f3rios probabil\u00edsticos do plano de produ\u00e7\u00e3o. Para cada cen\u00e1rio de sensibilidade, um novo plano de lavra \u00e9 gerado. O problema \u00e9 que precisamos selecionar o melhor cen\u00e1rio com base em determinadas m\u00e9tricas. Algumas perguntas n\u00e3o podem ser respondidas com base na an\u00e1lise de sensibilidade: &#8220;Qual \u00e9 a chance de atingir a capacidade da usina no primeiro ano?&#8221; &#8220;Qual a probabilidade de que a qualidade dos concentrados produzidos atender\u00e1 \u00e0s especifica\u00e7\u00f5es?&#8221; &#8220;Quais anos de produ\u00e7\u00e3o ser\u00e3o problem\u00e1ticos em termos de contaminantes?&#8221;. Por outro lado, o KPI-COSMO permite que o usu\u00e1rio realize a avalia\u00e7\u00e3o de risco do plano de lavra. Cen\u00e1rios (simula\u00e7\u00f5es) de diferentes fontes de incerteza s\u00e3o cruzados com o plano de produ\u00e7\u00e3o otimizado, gerando um relat\u00f3rio probabil\u00edstico das v\u00e1rias m\u00e9tricas de produ\u00e7\u00e3o. A quantifica\u00e7\u00e3o estat\u00edstica de risco atrav\u00e9s do KPI-COSMO, portanto, fornece um relat\u00f3rio significativamente mais detalhado para sua tomada de decis\u00e3o.<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<script type=\"application\/ld+json\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Por que o KPI-COSMO gera um VPL mais alto?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"O KPI-COSMO otimiza v\\u00e1rios componentes, desde as minas at\\u00e9 os produtos, de forma integrada, considerando a sinergias operacionais em toda a cadeia de valor. Isso inclui o sequenciamento das minas, destinos de materiais (teores de corte), rotas de materiais, blendagem, concentra\\u00e7\\u00e3o, metalurgia, estruturas complexas de custos\\\/receitas e aspectos de ambientais. O KPI-COSMO tamb\\u00e9m permite gerenciar os riscos que afetam toda a cadeia de valor ao integrar simula\\u00e7\\u00f5es de teores, tipos de materiais, propriedades geometal\\u00fargicas, pre\\u00e7os de metais, recupera\\u00e7\\u00f5es, desempenho de equipamentos etc. Ao combinar a estocasticidade e simultaneidade, o KPI-COSMO demonstra gerar um VPL significativamente maior em compara\\u00e7\\u00e3o com os planos de produ\\u00e7\\u00e3o de longo prazo gerados por softwares convencionais.\"}},{\"@type\":\"Question\",\"name\":\"Por que os planos de produ\\u00e7\\u00e3o do KPI-COSMO s\\u00e3o mais confi\\u00e1veis?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Al\\u00e9m da maximiza\\u00e7\\u00e3o do VPL, o modelo de otimiza\\u00e7\\u00e3o estoc\\u00e1stico do KPI-COSMO tem um componente de gerenciamento de risco. Ao usar as simula\\u00e7\\u00f5es de v\\u00e1rias fontes de incerteza (geol\\u00f3gicas ou econ\\u00f4micas), o KPI-COSMO permite minimizar os desvios associados a v\\u00e1rias metas de produ\\u00e7\\u00e3o, antecipando a extra\\u00e7\\u00e3o de \\u00e1reas com menor risco e postergando \\u00e1reas de risco elevado. Isso difere dos planos de lavra gerados convencionalmente, que n\\u00e3o conseguem gerenciar diretamente o risco. Como resultado, as opera\\u00e7\\u00f5es de mina s\\u00e3o frequentemente incapazes de atingir as metas de produ\\u00e7\\u00e3o. Al\\u00e9m de um VPL mais alto, o KPI-COSMO fornece previs\\u00f5es de produ\\u00e7\\u00e3o de longo prazo com menor risco envolvido.\"}},{\"@type\":\"Question\",\"name\":\"Qual \\u00e9 a diferen\\u00e7a entre avalia\\u00e7\\u00e3o de risco e an\\u00e1lise de sensibilidade?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"A an\\u00e1lise de sensibilidade \\u00e9 uma pr\\u00e1tica padr\\u00e3o no planejamento de mina. Essa abordagem geralmente consiste em aplicar diferentes fatores de aumento ou diminui\\u00e7\\u00e3o a um ou a um conjunto de par\\u00e2metros usados no processo de planejamento de mina. Essa abordagem \\u00e9 valiosa para avaliar os geradores de valor e os gargalos. Por\\u00e9m, a principal limita\\u00e7\\u00e3o da an\\u00e1lise de sensibilidade \\u00e9 que ela n\\u00e3o fornece relat\\u00f3rios probabil\\u00edsticos do plano de produ\\u00e7\\u00e3o. Para cada cen\\u00e1rio de sensibilidade, um novo plano de lavra \\u00e9 gerado. O problema \\u00e9 que precisamos selecionar o melhor cen\\u00e1rio com base em determinadas m\\u00e9tricas. Algumas perguntas n\\u00e3o podem ser respondidas com base na an\\u00e1lise de sensibilidade: &#8220;Qual \\u00e9 a chance de atingir a capacidade da usina no primeiro ano?&#8221; &#8220;Qual a probabilidade de que a qualidade dos concentrados produzidos atender\\u00e1 \\u00e0s especifica\\u00e7\\u00f5es?&#8221; &#8220;Quais anos de produ\\u00e7\\u00e3o ser\\u00e3o problem\\u00e1ticos em termos de contaminantes?&#8221;. Por outro lado, o KPI-COSMO permite que o usu\\u00e1rio realize a avalia\\u00e7\\u00e3o de risco do plano de lavra. Cen\\u00e1rios (simula\\u00e7\\u00f5es) de diferentes fontes de incerteza s\\u00e3o cruzados com o plano de produ\\u00e7\\u00e3o otimizado, gerando um relat\\u00f3rio probabil\\u00edstico das v\\u00e1rias m\\u00e9tricas de produ\\u00e7\\u00e3o. A quantifica\\u00e7\\u00e3o estat\\u00edstica de risco atrav\\u00e9s do KPI-COSMO, portanto, fornece um relat\\u00f3rio significativamente mais detalhado para sua tomada de decis\\u00e3o.\"}}]}<\/script>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-8b7c395 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"8b7c395\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-86a2921\" data-id=\"86a2921\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-538ff73 elementor-widget elementor-widget-heading\" data-id=\"538ff73\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Inputs<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ea95ed4 div_faq elementor-widget elementor-widget-accordion\" data-id=\"ea95ed4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"accordion.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-accordion\">\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-2451\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-2451\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><i class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Por que devo usar simula\u00e7\u00f5es geoestat\u00edsticas no planejamento de mina de longo prazo?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-2451\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-2451\">Os m\u00e9todos de estimativa, como os v\u00e1rios tipos de krigagem, inverso da dist\u00e2ncia, etc., geram uma representa\u00e7\u00e3o suavizada dos dep\u00f3sitos minerais. Ou seja, os teores intermedi\u00e1rios s\u00e3o superestimados, enquanto os valores altos e baixos s\u00e3o subestimados. Esse efeito de suaviza\u00e7\u00e3o tem s\u00e9rios efeitos adversos no processo de otimiza\u00e7\u00e3o, o qual \u00e9 altamente influenciado pela conectividade e pelas propor\u00e7\u00f5es de altos teores (onde ganhamos dinheiro). As simula\u00e7\u00f5es geoestat\u00edsticas, por outro lado, reproduzem estat\u00edsticas (m\u00e9dia, vari\u00e2ncia, histogramas, variogramas e, potencialmente, estat\u00edsticas de alta ordem) dos dados de explora\u00e7\u00e3o. As simula\u00e7\u00f5es s\u00e3o realiza\u00e7\u00f5es equiprov\u00e1veis do dep\u00f3sito mineral e fornecem uma medida quantitativa de sua incerteza espacial. Portanto, elas s\u00e3o inputs aprimorados para o processo de planejamento de longo prazo. Tais simula\u00e7\u00f5es tamb\u00e9m permitem gerenciar o risco associado ao n\u00e3o atendimento dos objetivos de produ\u00e7\u00e3o e possibilitam a gera\u00e7\u00e3o de relat\u00f3rios probabil\u00edsticos das m\u00e9tricas de produ\u00e7\u00e3o.<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-2452\" class=\"elementor-tab-title\" data-tab=\"2\" role=\"button\" aria-controls=\"elementor-tab-content-2452\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><i class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Onde posso gerar as simula\u00e7\u00f5es geoestat\u00edsticas exigidas pelo KPI-COSMO?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-2452\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"region\" aria-labelledby=\"elementor-tab-title-2452\">Os principais inputs para o processo de otimiza\u00e7\u00e3o do KPI-COSMO s\u00e3o um conjunto de simula\u00e7\u00f5es geoestat\u00edsticas dos dep\u00f3sitos minerais. Existem alguns softwares de modelagem de recursos dispon\u00edveis no mercado que oferecem algoritmos eficientes de simula\u00e7\u00e3o condicional para vari\u00e1veis cont\u00ednuas (\u00fanico ou v\u00e1rios teores, propriedades geometal\u00fargicas etc.) e categ\u00f3ricas (litologias, f\u00e1cies intemperizadas, etc.). Ap\u00f3s as simula\u00e7\u00f5es serem validadas adequadamente com base nos dados explora\u00e7\u00e3o, elas poder\u00e3o ser usadas no KPI-COSMO para a otimiza\u00e7\u00e3o simult\u00e2nea e estoc\u00e1stica do planejamento longo prazo de um complexo de minera\u00e7\u00e3o.<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-2453\" class=\"elementor-tab-title\" data-tab=\"3\" role=\"button\" aria-controls=\"elementor-tab-content-2453\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><i class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Quantas simula\u00e7\u00f5es de dep\u00f3sitos minerais devo usar?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-2453\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"3\" role=\"region\" aria-labelledby=\"elementor-tab-title-2453\">15 a 20 simula\u00e7\u00f5es s\u00e3o suficientes para gerar planos de produ\u00e7\u00e3o de longo prazo est\u00e1veis, conforme demonstrado em v\u00e1rios estudos de caso. Em cada ano de produ\u00e7\u00e3o, centenas de milhares de blocos est\u00e3o sequenciados para serem extra\u00eddos. Temos, portanto, uma mudan\u00e7a maci\u00e7a de suporte da escala de blocos para o agrupamento de blocos sequenciados ano a ano. Finalmente, devido \u00e0s rela\u00e7\u00f5es entre vari\u00e2ncia e suporte, as solu\u00e7\u00f5es convergem rapidamente com o n\u00famero de simula\u00e7\u00f5es.<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-2454\" class=\"elementor-tab-title\" data-tab=\"4\" role=\"button\" aria-controls=\"elementor-tab-content-2454\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><i class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Com quais tipos de incerteza o KPI-COSMO permite trabalhar?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-2454\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"4\" role=\"region\" aria-labelledby=\"elementor-tab-title-2454\">O KPI-COSMO lida com v\u00e1rios tipos de incerteza em toda a cadeia de valor mineral. Com rela\u00e7\u00e3o \u00e0s incertezas nos dep\u00f3sitos minerais, o KPI-COSMO pode integrar modelos de blocos com v\u00e1rios atributos de blocos simulados geoestatisticamente, como teores de v\u00e1rios metais, tipos de materiais, atributos geometal\u00fargicos etc.  Cen\u00e1rios de incerteza nos pre\u00e7os dos metais, curvas de teor-recupera\u00e7\u00e3o, os indicadores de desempenho dos equipamentos, bem como propriedades quantitativas e qualitativas de fontes externas e de estoques existentes tamb\u00e9m podem ser integrados simultaneamente ao processo de otimiza\u00e7\u00e3o do KPI-COSMO.<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<script type=\"application\/ld+json\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Por que devo usar simula\\u00e7\\u00f5es geoestat\\u00edsticas no planejamento de mina de longo prazo?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Os m\\u00e9todos de estimativa, como os v\\u00e1rios tipos de krigagem, inverso da dist\\u00e2ncia, etc., geram uma representa\\u00e7\\u00e3o suavizada dos dep\\u00f3sitos minerais. Ou seja, os teores intermedi\\u00e1rios s\\u00e3o superestimados, enquanto os valores altos e baixos s\\u00e3o subestimados. Esse efeito de suaviza\\u00e7\\u00e3o tem s\\u00e9rios efeitos adversos no processo de otimiza\\u00e7\\u00e3o, o qual \\u00e9 altamente influenciado pela conectividade e pelas propor\\u00e7\\u00f5es de altos teores (onde ganhamos dinheiro). As simula\\u00e7\\u00f5es geoestat\\u00edsticas, por outro lado, reproduzem estat\\u00edsticas (m\\u00e9dia, vari\\u00e2ncia, histogramas, variogramas e, potencialmente, estat\\u00edsticas de alta ordem) dos dados de explora\\u00e7\\u00e3o. As simula\\u00e7\\u00f5es s\\u00e3o realiza\\u00e7\\u00f5es equiprov\\u00e1veis do dep\\u00f3sito mineral e fornecem uma medida quantitativa de sua incerteza espacial. Portanto, elas s\\u00e3o inputs aprimorados para o processo de planejamento de longo prazo. Tais simula\\u00e7\\u00f5es tamb\\u00e9m permitem gerenciar o risco associado ao n\\u00e3o atendimento dos objetivos de produ\\u00e7\\u00e3o e possibilitam a gera\\u00e7\\u00e3o de relat\\u00f3rios probabil\\u00edsticos das m\\u00e9tricas de produ\\u00e7\\u00e3o.\"}},{\"@type\":\"Question\",\"name\":\"Onde posso gerar as simula\\u00e7\\u00f5es geoestat\\u00edsticas exigidas pelo KPI-COSMO?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Os principais inputs para o processo de otimiza\\u00e7\\u00e3o do KPI-COSMO s\\u00e3o um conjunto de simula\\u00e7\\u00f5es geoestat\\u00edsticas dos dep\\u00f3sitos minerais. Existem alguns softwares de modelagem de recursos dispon\\u00edveis no mercado que oferecem algoritmos eficientes de simula\\u00e7\\u00e3o condicional para vari\\u00e1veis cont\\u00ednuas (\\u00fanico ou v\\u00e1rios teores, propriedades geometal\\u00fargicas etc.) e categ\\u00f3ricas (litologias, f\\u00e1cies intemperizadas, etc.). Ap\\u00f3s as simula\\u00e7\\u00f5es serem validadas adequadamente com base nos dados explora\\u00e7\\u00e3o, elas poder\\u00e3o ser usadas no KPI-COSMO para a otimiza\\u00e7\\u00e3o simult\\u00e2nea e estoc\\u00e1stica do planejamento longo prazo de um complexo de minera\\u00e7\\u00e3o.\"}},{\"@type\":\"Question\",\"name\":\"Quantas simula\\u00e7\\u00f5es de dep\\u00f3sitos minerais devo usar?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"15 a 20 simula\\u00e7\\u00f5es s\\u00e3o suficientes para gerar planos de produ\\u00e7\\u00e3o de longo prazo est\\u00e1veis, conforme demonstrado em v\\u00e1rios estudos de caso. Em cada ano de produ\\u00e7\\u00e3o, centenas de milhares de blocos est\\u00e3o sequenciados para serem extra\\u00eddos. Temos, portanto, uma mudan\\u00e7a maci\\u00e7a de suporte da escala de blocos para o agrupamento de blocos sequenciados ano a ano. Finalmente, devido \\u00e0s rela\\u00e7\\u00f5es entre vari\\u00e2ncia e suporte, as solu\\u00e7\\u00f5es convergem rapidamente com o n\\u00famero de simula\\u00e7\\u00f5es.\"}},{\"@type\":\"Question\",\"name\":\"Com quais tipos de incerteza o KPI-COSMO permite trabalhar?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"O KPI-COSMO lida com v\\u00e1rios tipos de incerteza em toda a cadeia de valor mineral. Com rela\\u00e7\\u00e3o \\u00e0s incertezas nos dep\\u00f3sitos minerais, o KPI-COSMO pode integrar modelos de blocos com v\\u00e1rios atributos de blocos simulados geoestatisticamente, como teores de v\\u00e1rios metais, tipos de materiais, atributos geometal\\u00fargicos etc.  Cen\\u00e1rios de incerteza nos pre\\u00e7os dos metais, curvas de teor-recupera\\u00e7\\u00e3o, os indicadores de desempenho dos equipamentos, bem como propriedades quantitativas e qualitativas de fontes externas e de estoques existentes tamb\\u00e9m podem ser integrados simultaneamente ao processo de otimiza\\u00e7\\u00e3o do KPI-COSMO.\"}}]}<\/script>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-41e03e8 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"41e03e8\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-148a35f\" data-id=\"148a35f\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-927c067 elementor-widget elementor-widget-heading\" data-id=\"927c067\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Sequenciamento<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8b12670 div_faq elementor-widget elementor-widget-accordion\" data-id=\"8b12670\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"accordion.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-accordion\">\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1451\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-1451\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><i class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Por que n\u00e3o devo usar limites de cava predefinidos gerados por meio de algoritmos convencionais de limite de cava?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1451\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-1451\">Os algoritmos convencionais de limite de cava, como L&#038;G, Pseudoflow, etc., n\u00e3o levam em conta o valor das receitas e dos custos no tempo. Um \u201cpit shell\u201d \u00e9 selecionado subjetivamente pelo planejador da mina com base em diferentes crit\u00e9rios, e com base em em dois casos extremos e n\u00e3o pr\u00e1ticos denominados \u201cbest-case\u201d (pit-by-pit) e \u201cworst-case&#8221; (bench-by-bench). Al\u00e9m disso, esses algoritmos convencionais se baseiam no valor econ\u00f4mico dos blocos que: (a) pressup\u00f5em um destino predefinido para os blocos, (b) n\u00e3o consideram as blendagens e as transforma\u00e7\u00f5es de materiais em toda a cadeia de valor e (c) negligenciam a incerteza e a variabilidade dos teores e tipos de materiais dentro do dep\u00f3sito. Idealmente, o sequenciamento de longo prazo deveria gerar os limites da cava realmente \u00f3timos, e n\u00e3o o contr\u00e1rio. Isso agora pode ser alcan\u00e7ado com o KPI-COSMO.<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1452\" class=\"elementor-tab-title\" data-tab=\"2\" role=\"button\" aria-controls=\"elementor-tab-content-1452\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><i class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Por que os limites de cava estoc\u00e1sticos otimizados pelo KPI-COSMO s\u00e3o geralmente maiores?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1452\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"region\" aria-labelledby=\"elementor-tab-title-1452\">Diferentes aspectos contribuem para os limites de cava maiores gerados pelo KPI-COSMO. Primeiro, as simula\u00e7\u00f5es geoestat\u00edsticas fornecem uma representa\u00e7\u00e3o significativamente melhor da distribui\u00e7\u00e3o espacial de altos teores nos dep\u00f3sitos minerais. Segundo, sequenciamento din\u00e2mico de altos teores abrem a oportunidade de extrair economicamente alguns blocos de baixo e m\u00e9dio teor ao longo da sequ\u00eancia de extra\u00e7\u00e3o. Terceiro, a mistura de teores altos, m\u00e9dios e baixos em v\u00e1rios destinos de processamento da cadeia de valor tamb\u00e9m \u00e9 considerada pelo KPI-COSMO ao inv\u00e9s de valores econ\u00f4micos de blocos pr\u00e9-calculados. Portanto, o limite de cava gerado pelo KPI-COSMO n\u00e3o \u00e9 apenas fisicamente diferente, mas tamb\u00e9m costuma ser maior (cerca de 25%) do que os limites de cava convencionais.<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1453\" class=\"elementor-tab-title\" data-tab=\"3\" role=\"button\" aria-controls=\"elementor-tab-content-1453\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><i class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">As sequ\u00eancias de extra\u00e7\u00e3o otimizadas pelo KPI-COSMO s\u00e3o pr\u00e1ticas?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1453\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"3\" role=\"region\" aria-labelledby=\"elementor-tab-title-1453\">Sim. O KPI-COSMO tem uma variedade de restri\u00e7\u00f5es operacionais para o sequenciamento que levam em conta os cl\u00e1ssicos \u00e2ngulos m\u00e1ximos de talude ao longo de diferentes azimutes, a largura m\u00ednima, os avan\u00e7os verticais m\u00e1ximos anuais nas cavas etc., a fim de gerar sequenciamentos otimizados diretamente na escala de blocos. Tais sequ\u00eancias podem ent\u00e3o ser usadas para o processo de operacionaliza\u00e7\u00e3o de cavas a c\u00e9u aberto (design). Essas restri\u00e7\u00f5es s\u00e3o configuradas para cada zona geot\u00e9cnica dentro da mina.<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1454\" class=\"elementor-tab-title\" data-tab=\"4\" role=\"button\" aria-controls=\"elementor-tab-content-1454\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><i class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Por que sequenciamento diretamente em escala de blocos do KPI-COSMO \u00e9 melhor do que o sequenciamento convencional em pain\u00e9is (phase-bench)?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1454\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"4\" role=\"region\" aria-labelledby=\"elementor-tab-title-1454\">Os otimizadores convencionais de longo prazo de minas a c\u00e9u aberto geralmente se baseiam na abordagem \u201cphase-bench\u201d, ou seja, ap\u00f3s a defini\u00e7\u00e3o dos pushbacks, os blocos dentro do mesmo pushback e bancada s\u00e3o agrupados em um ou v\u00e1rios pain\u00e9is definidos pelo usu\u00e1rio. Em seguida, presume-se que esses pain\u00e9is sejam lavrados de forma homog\u00eanea com base em seus invent\u00e1rios de diferentes classes de teor (grade bins). Essa agrega\u00e7\u00e3o de larga escala de blocos para formar um painel representa erroneamente a seletividade e a acessibilidade de extra\u00e7\u00e3o. O KPI-COSMO gera sequ\u00eancias de extra\u00e7\u00e3o otimizadas em escala de SMU (selective mining unit). Essa abordagem, combinada com as restri\u00e7\u00f5es operacionais de sequenciamento do KPI-COSMO (\u00e2ngulos de inclina\u00e7\u00e3o, largura m\u00ednima, avan\u00e7os verticais m\u00e1ximos anuais etc.), reflete a seletividade de lavra projetada.<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<script type=\"application\/ld+json\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Por que n\\u00e3o devo usar limites de cava predefinidos gerados por meio de algoritmos convencionais de limite de cava?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Os algoritmos convencionais de limite de cava, como L&#038;G, Pseudoflow, etc., n\\u00e3o levam em conta o valor das receitas e dos custos no tempo. Um \\u201cpit shell\\u201d \\u00e9 selecionado subjetivamente pelo planejador da mina com base em diferentes crit\\u00e9rios, e com base em em dois casos extremos e n\\u00e3o pr\\u00e1ticos denominados \\u201cbest-case\\u201d (pit-by-pit) e \\u201cworst-case&#8221; (bench-by-bench). Al\\u00e9m disso, esses algoritmos convencionais se baseiam no valor econ\\u00f4mico dos blocos que: (a) pressup\\u00f5em um destino predefinido para os blocos, (b) n\\u00e3o consideram as blendagens e as transforma\\u00e7\\u00f5es de materiais em toda a cadeia de valor e (c) negligenciam a incerteza e a variabilidade dos teores e tipos de materiais dentro do dep\\u00f3sito. Idealmente, o sequenciamento de longo prazo deveria gerar os limites da cava realmente \\u00f3timos, e n\\u00e3o o contr\\u00e1rio. Isso agora pode ser alcan\\u00e7ado com o KPI-COSMO.\"}},{\"@type\":\"Question\",\"name\":\"Por que os limites de cava estoc\\u00e1sticos otimizados pelo KPI-COSMO s\\u00e3o geralmente maiores?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Diferentes aspectos contribuem para os limites de cava maiores gerados pelo KPI-COSMO. Primeiro, as simula\\u00e7\\u00f5es geoestat\\u00edsticas fornecem uma representa\\u00e7\\u00e3o significativamente melhor da distribui\\u00e7\\u00e3o espacial de altos teores nos dep\\u00f3sitos minerais. Segundo, sequenciamento din\\u00e2mico de altos teores abrem a oportunidade de extrair economicamente alguns blocos de baixo e m\\u00e9dio teor ao longo da sequ\\u00eancia de extra\\u00e7\\u00e3o. Terceiro, a mistura de teores altos, m\\u00e9dios e baixos em v\\u00e1rios destinos de processamento da cadeia de valor tamb\\u00e9m \\u00e9 considerada pelo KPI-COSMO ao inv\\u00e9s de valores econ\\u00f4micos de blocos pr\\u00e9-calculados. Portanto, o limite de cava gerado pelo KPI-COSMO n\\u00e3o \\u00e9 apenas fisicamente diferente, mas tamb\\u00e9m costuma ser maior (cerca de 25%) do que os limites de cava convencionais.\"}},{\"@type\":\"Question\",\"name\":\"As sequ\\u00eancias de extra\\u00e7\\u00e3o otimizadas pelo KPI-COSMO s\\u00e3o pr\\u00e1ticas?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Sim. O KPI-COSMO tem uma variedade de restri\\u00e7\\u00f5es operacionais para o sequenciamento que levam em conta os cl\\u00e1ssicos \\u00e2ngulos m\\u00e1ximos de talude ao longo de diferentes azimutes, a largura m\\u00ednima, os avan\\u00e7os verticais m\\u00e1ximos anuais nas cavas etc., a fim de gerar sequenciamentos otimizados diretamente na escala de blocos. Tais sequ\\u00eancias podem ent\\u00e3o ser usadas para o processo de operacionaliza\\u00e7\\u00e3o de cavas a c\\u00e9u aberto (design). Essas restri\\u00e7\\u00f5es s\\u00e3o configuradas para cada zona geot\\u00e9cnica dentro da mina.\"}},{\"@type\":\"Question\",\"name\":\"Por que sequenciamento diretamente em escala de blocos do KPI-COSMO \\u00e9 melhor do que o sequenciamento convencional em pain\\u00e9is (phase-bench)?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Os otimizadores convencionais de longo prazo de minas a c\\u00e9u aberto geralmente se baseiam na abordagem \\u201cphase-bench\\u201d, ou seja, ap\\u00f3s a defini\\u00e7\\u00e3o dos pushbacks, os blocos dentro do mesmo pushback e bancada s\\u00e3o agrupados em um ou v\\u00e1rios pain\\u00e9is definidos pelo usu\\u00e1rio. Em seguida, presume-se que esses pain\\u00e9is sejam lavrados de forma homog\\u00eanea com base em seus invent\\u00e1rios de diferentes classes de teor (grade bins). Essa agrega\\u00e7\\u00e3o de larga escala de blocos para formar um painel representa erroneamente a seletividade e a acessibilidade de extra\\u00e7\\u00e3o. O KPI-COSMO gera sequ\\u00eancias de extra\\u00e7\\u00e3o otimizadas em escala de SMU (selective mining unit). Essa abordagem, combinada com as restri\\u00e7\\u00f5es operacionais de sequenciamento do KPI-COSMO (\\u00e2ngulos de inclina\\u00e7\\u00e3o, largura m\\u00ednima, avan\\u00e7os verticais m\\u00e1ximos anuais etc.), reflete a seletividade de lavra projetada.\"}}]}<\/script>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-d19f103 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"d19f103\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-51a2596\" data-id=\"51a2596\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-290d271 elementor-widget elementor-widget-heading\" data-id=\"290d271\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Destino e rotas de materiais<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6531e12 div_faq elementor-widget elementor-widget-accordion\" data-id=\"6531e12\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"accordion.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-accordion\">\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1061\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-1061\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><i class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Por que os teores de corte otimizados simultaneamente no KPI-COSMO s\u00e3o melhores?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1061\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-1061\">Os teores de corte s\u00e3o convencionalmente otimizados independentemente do sequenciamento de longo prazo, o que significa que um plano de lavra pode n\u00e3o ser mais fact\u00edvel se o teor de corte for aplicado. Esses teores de corte predefinidos tamb\u00e9m n\u00e3o levam em conta a incerteza geol\u00f3gica e as blendagens de materiais que ocorrem em toda a cadeia de valor. Isso tem um impacto adverso sobre o VPL. O KPI-COSMO permite que o usu\u00e1rio otimize simultaneamente os teores de corte e o sequenciamento, levando em conta as incertezas dos recursos minerais dispon\u00edveis e as m\u00faltiplas capacidades operacionais na cadeia de valor. Isso leva a uma melhoria significativa no VPL em compara\u00e7\u00e3o com o uso de teores de corte convencionais.<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1062\" class=\"elementor-tab-title\" data-tab=\"2\" role=\"button\" aria-controls=\"elementor-tab-content-1062\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><i class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Por que o KPI-COSMO gerencia melhor as pilhas de estoque, as blendagens e as transforma\u00e7\u00f5es de materiais?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1062\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"region\" aria-labelledby=\"elementor-tab-title-1062\">A estocagem, a blendagem, o processamento e o refino de v\u00e1rios materiais em toda a cadeia de valor mineral s\u00e3o caracterizados por fun\u00e7\u00f5es altamente n\u00e3o lineares. Os softwares convencionais de planejamento de longo prazo geralmente dependem de simplifica\u00e7\u00f5es de lineariza\u00e7\u00e3o que, infelizmente, n\u00e3o conseguem lidar com n\u00e3o-linearidades. O KPI-COSMO, por outro lado, permite o uso de simula\u00e7\u00f5es de propriedades geometal\u00fargicas bem como o uso de curvas de teor-recupera\u00e7\u00e3o n\u00e3o lineares para as plantas de processamento. Nossa solu\u00e7\u00e3o tamb\u00e9m permite a efetiva modelagem da homogeneiza\u00e7\u00e3o que ocorre nas pilhas de estoque, lixivia\u00e7\u00e3o, etc. Essa funcionalidade contribui para gerar planos de produ\u00e7\u00e3o mais precisos e realistas, incluindo o VPL e as outras m\u00e9tricas qualitativas do produto.<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1063\" class=\"elementor-tab-title\" data-tab=\"3\" role=\"button\" aria-controls=\"elementor-tab-content-1063\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><i class=\"fas fa-chevron-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Por que a KPI-COSMO melhor gerencia est\u00e9ril e rejeitos?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1063\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"3\" role=\"region\" aria-labelledby=\"elementor-tab-title-1063\">O gerenciamento de est\u00e9ril \u00e9 controlado pelos recursos minerais dentro das minas, por par\u00e2metros econ\u00f4micos (pre\u00e7os de metais, custos de transporte etc.) e por aspectos ambientais (redu\u00e7\u00e3o de rochas geradoras de \u00e1cido, \u00e1rea licenciada e sistema monitoramento de res\u00edduos etc.). Esse \u00e9 um aspecto fundamental do planejamento de longo prazo. O KPI-COSMO permite que o usu\u00e1rio modele adequadamente os custos de transporte, neutraliza\u00e7\u00e3o, monitoramento e outras restri\u00e7\u00f5es ambientais. Al\u00e9m disso, KPI-COSMO utiliza simula\u00e7\u00f5es geoestat\u00edsticas e otimiza\u00e7\u00e3o de cut-offs melhorando em muito a defini\u00e7\u00e3o do que \u00e9 min\u00e9rio e o que \u00e9 est\u00e9ril.<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<script type=\"application\/ld+json\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Por que os teores de corte otimizados simultaneamente no KPI-COSMO s\\u00e3o melhores?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Os teores de corte s\\u00e3o convencionalmente otimizados independentemente do sequenciamento de longo prazo, o que significa que um plano de lavra pode n\\u00e3o ser mais fact\\u00edvel se o teor de corte for aplicado. Esses teores de corte predefinidos tamb\\u00e9m n\\u00e3o levam em conta a incerteza geol\\u00f3gica e as blendagens de materiais que ocorrem em toda a cadeia de valor. Isso tem um impacto adverso sobre o VPL. O KPI-COSMO permite que o usu\\u00e1rio otimize simultaneamente os teores de corte e o sequenciamento, levando em conta as incertezas dos recursos minerais dispon\\u00edveis e as m\\u00faltiplas capacidades operacionais na cadeia de valor. Isso leva a uma melhoria significativa no VPL em compara\\u00e7\\u00e3o com o uso de teores de corte convencionais.\"}},{\"@type\":\"Question\",\"name\":\"Por que o KPI-COSMO gerencia melhor as pilhas de estoque, as blendagens e as transforma\\u00e7\\u00f5es de materiais?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"A estocagem, a blendagem, o processamento e o refino de v\\u00e1rios materiais em toda a cadeia de valor mineral s\\u00e3o caracterizados por fun\\u00e7\\u00f5es altamente n\\u00e3o lineares. Os softwares convencionais de planejamento de longo prazo geralmente dependem de simplifica\\u00e7\\u00f5es de lineariza\\u00e7\\u00e3o que, infelizmente, n\\u00e3o conseguem lidar com n\\u00e3o-linearidades. 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O KPI-COSMO permite que o usu\\u00e1rio modele adequadamente os custos de transporte, neutraliza\\u00e7\\u00e3o, monitoramento e outras restri\\u00e7\\u00f5es ambientais. Al\\u00e9m disso, KPI-COSMO utiliza simula\\u00e7\\u00f5es geoestat\\u00edsticas e otimiza\\u00e7\\u00e3o de cut-offs melhorando em muito a defini\\u00e7\\u00e3o do que \\u00e9 min\\u00e9rio e o que \\u00e9 est\\u00e9ril.\"}}]}<\/script>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<div class=\"elementor-element elementor-element-61fa2ba elementor-widget elementor-widget-html\" data-id=\"61fa2ba\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<script>\r\njQuery(document).ready(function($) {\r\nvar delay = 1400; setTimeout(function() {\r\n    \/\/console.log('test');\r\n$('.elementor-tab-title').removeClass('elementor-active');\r\n $('.elementor-tab-content').css('display', 'none'); }, delay);\r\n});\r\n<\/script>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>KPI-COSMO Stochastic Mining Optimizer O primeiro software de otimiza\u00e7\u00e3o estoc\u00e1stica e simult\u00e2nea para cadeias de valor mineral. Gere planos de produ\u00e7\u00e3o otimizados, aumente o valor presente l\u00edquido (VPL) e amplie as reservas minerais com um software inteligente e inovador. Solicite uma demonstra\u00e7\u00e3o Aumente o valor presente l\u00edquido do projeto ou mina em opera\u00e7\u00e3o em at\u00e9 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-5393","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Solu\u00e7\u00f5es de software - KPI Mining Solutions<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/kpimining.com\/software-solutions\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Solu\u00e7\u00f5es de software - KPI Mining Solutions\" \/>\n<meta property=\"og:description\" content=\"KPI-COSMO Stochastic Mining Optimizer O primeiro software de otimiza\u00e7\u00e3o estoc\u00e1stica e simult\u00e2nea para cadeias de valor mineral. Gere planos de produ\u00e7\u00e3o otimizados, aumente o valor presente l\u00edquido (VPL) e amplie as reservas minerais com um software inteligente e inovador. 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