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Advanced Optimal Production Scheduling for Salt Manufacturing at Compass Minerals
This project develops a decision-support tool to improve production scheduling at Compass Minerals’ salt plant in Goderich, Ontario. The plant makes multiple grades of salt on connected production lines, facing changing demand and tight operational limits. Currently, schedules are created manually or with simple rules, which limits flexibility and efficiency. We aim to build an optimization model that generates efficient, realistic schedules while accounting for constraints like demand, equipment capacity, changeover times, and inventory. To handle uncertainty, we will use stochastic programming techniques. The final tool will be tested with plant data and refined with input from plant staff. It is expected to improve scheduling, reduce costs, and help the plant respond better to changes in demand, supporting both profitability and sustainability.
Faculty Supervisor:
Joshua Pulsipher
Student:
Partner:
Compass Minerals Canada Corp.
Discipline:
Engineering
Sector:
Manufacturing; Mining
University:
University of Waterloo
Program:
Accelerate
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.