Supply Chain Analytics

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Supply chain management nowadays relies heavily on data analysis and real-time decision making to deal with rapidly changing environments and ever-increasing customer expectations. The Canada Research Chair in Supply Chain Analytics aims to transform the planning and execution processes through predictive and decision analytics that make use of operations research (OR) and machine learning (ML) techniques, and to bridge the gap between academics and practitioners in the field. The main objectives are to enable seamless integration of planning and real-time execution, to provide supply chain resilience, and to create supply chain intelligence which learns and adapts to the dynamic environments.