Data Analytics for Ore Blending Schedules

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Mining is one of Canada's primary industries, contributing $56 billion to Canada's Gross Domestic Product(GDP) and responsible for 19% of the value of Canadian goods exports in 2015. A key strategic andoperational challenge faced by mining companies is the creation of ore blending schedules, that is, which oresto combine in the final products that the company offers to the market. While higher-quality ore mixtures leadto products with elevated prices, blending is a crucial process for extending the life of the mine and ingenerating cost-effective mining-production plans. Nonetheless, the majority of Canadian companies stillcreate their ore blending schedules manually or using suboptimal methods. In this project, the applicant willpartner with Magemi Mining, Inc., a Canadian consulting firm in the mining area, to develop newdata-analytics methodologies for the design of dynamic long-term ore blending schedules. The project extendsthe state-of-the-art optimization technologies in the area and will be directly applied by Magemi Mining, Inc. toits clients.