Knowledge Systems, Analytics, and Optimization Modeling (OPMT 2100)

This course examines how knowledge systems, data analytics, and optimization models support effective decision-making in modern supply chains. The first component focuses on knowledge management frameworks and digital information systems that enable organizations to capture, structure, share, and apply operational knowledge across complex supply networks. Students explore how data governance, enterprise systems, and decision-support technologies enhance coordination, visibility, and performance.

The second component introduces quantitative optimization techniques used to improve supply chain efficiency and resource allocation. Students apply tools such as linear programming, network modeling, forecasting, and scheduling methods to real-world operational challenges. The course also examines the emerging role of generative AI in modeling, simulation, and scenario analysis, enabling data-driven insights and adaptive decision-making. Through applied exercises, students develop practical skills in analyzing supply chain problems and designing optimized, technology-enabled solutions.
Course code: OPMT 2100
Credits: 3.0
Length: 45.0 hours
Course outline: view https://www.vcc.ca/vccphp/courseoutline?subject=OPMT&number=2100
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