Grants and Contributions:

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Title:

Data Analytics for Ore Blending Schedules

Agreement Number:

EGP

Agreement Value:

$25,000.00

Agreement Date:

Dec 13, 2017 -

Organization:

Natural Sciences and Engineering Research Council of Canada

Location:

Ontario, CA

Reference Number:

GC-2017-Q3-00517

Agreement Type:

Grant

Report Type:

Grants and Contributions

Additional Information:

Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019).

Recipient's Legal Name:

Cire, Andre (University of Toronto)

Program:

Engage Grants for universities

Program Purpose:

Mining is one of Canada's primary industries, contributing $56 billion to Canada's Gross Domestic Productx000D
(GDP) and responsible for 19% of the value of Canadian goods exports in 2015. A key strategic andx000D
operational challenge faced by mining companies is the creation of ore blending schedules, that is, which oresx000D
to combine in the final products that the company offers to the market. While higher-quality ore mixtures leadx000D
to products with elevated prices, blending is a crucial process for extending the life of the mine and inx000D
generating cost-effective mining-production plans. Nonetheless, the majority of Canadian companies stillx000D
create their ore blending schedules manually or using suboptimal methods. In this project, the applicant willx000D
partner with Magemi Mining, Inc., a Canadian consulting firm in the mining area, to develop newx000D
data-analytics methodologies for the design of dynamic long-term ore blending schedules. The project extendsx000D
the state-of-the-art optimization technologies in the area and will be directly applied by Magemi Mining, Inc. tox000D
its clients.