Reimagining Supply Chain Learning with Realistic Data-Driven Gaming Simulator
Author(s)
Pothen, Ashwin S.
Advisor(s)
Benaben, Frederick
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Abstract
As supply chains grow increasingly complex, educational tools must evolve to better prepare students and practitioners for managing global networks. Traditional models like the Beer Game illustrate fundamental supply chain dynamics but fail to capture modern challenges such as multi-tier fulfillment, demand variabilities, and disruptions. Our interactive supply chain simulator addresses this gap by integrating a configurable multi-facility network, autonomous decision-making, and demand-driven replenishment, implemented with progressive complexity. The simulator integrates descriptive, predictive, and prescriptive analytics, enabling users to experiment with strategies and analyze real-time impacts on key performance metrics. Statistical testing from usage by master’s students reveals a significant correlation between simulator engagement and improved team performance, reinforcing its value as a learning aid. User feedback further indicates that the simulator enhances analytical thinking and decision-making skills, equipping students to confidently navigate real-world supply chain complexities.
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Date
2025
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