Reference number : GC-2017-Q3-00517, amendment number : , agreement type : G, recipient legal name : Cire, Andre (University of Toronto), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Engage Grants for universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : Mining is one of Canada's primary industries, contributing $56 billion to Canada's Gross Domestic Product_x000D_
(GDP) and responsible for 19% of the value of Canadian goods exports in 2015. A key strategic and_x000D_
operational challenge faced by mining companies is the creation of ore blending schedules, that is, which ores_x000D_
to combine in the final products that the company offers to the market. While higher-quality ore mixtures lead_x000D_
to products with elevated prices, blending is a crucial process for extending the life of the mine and in_x000D_
generating cost-effective mining-production plans. Nonetheless, the majority of Canadian companies still_x000D_
create their ore blending schedules manually or using suboptimal methods. In this project, the applicant will_x000D_
partner with Magemi Mining, Inc., a Canadian consulting firm in the mining area, to develop new_x000D_
data-analytics methodologies for the design of dynamic long-term ore blending schedules. The project extends_x000D_
the state-of-the-art optimization technologies in the area and will be directly applied by Magemi Mining, Inc. to_x000D_
its clients., program purpose french : Mining is one of Canada's primary industries, contributing $56 billion to Canada's Gross Domestic Product_x000D_
(GDP) and responsible for 19% of the value of Canadian goods exports in 2015. A key strategic and_x000D_
operational challenge faced by mining companies is the creation of ore blending schedules, that is, which ores_x000D_
to combine in the final products that the company offers to the market. While higher-quality ore mixtures lead_x000D_
to products with elevated prices, blending is a crucial process for extending the life of the mine and in_x000D_
generating cost-effective mining-production plans. Nonetheless, the majority of Canadian companies still_x000D_
create their ore blending schedules manually or using suboptimal methods. In this project, the applicant will_x000D_
partner with Magemi Mining, Inc., a Canadian consulting firm in the mining area, to develop new_x000D_
data-analytics methodologies for the design of dynamic long-term ore blending schedules. The project extends_x000D_
the state-of-the-art optimization technologies in the area and will be directly applied by Magemi Mining, Inc. to_x000D_
its clients., agreement title english : Data Analytics for Ore Blending Schedules, agreement title french : Data Analytics for Ore Blending Schedules, agreement number : EGP, agreement value : 25000.0, agreement start date : 2017-12-13, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada