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Most participants watch the videos at 1.5x speed. Prerequisites: None Duration: 5 hours, 5 minutes Course Description: Learn to apply the 'center of mass' method, as well as Monte Carlo simulation, k-means clustering, and mixed-integer programming to find the optimal location of coal warehouses in a supply chain network, so that the cost of operating the supply chain network is minimum. Specifically, the center of mass method is used as the initial approach to determine the optimal warehouse location by calculating volume-weighted averages of all suppliers' and consumers' coordinates. Then, Monte Carlo simulation is applied to the analyze uncertainty in coal shipment volumes. Also, K-means clustering is employed to explore multi-warehouse configurations by partitioning the geographic space into distinct service regions, revealing potential cost reductions through additional facilities. Finally, Mixed-integer programming is used as the final optimization stage to incorporate operational constraints (capacity limits, minimum throughput requirements) and economic considerations (construction costs, economies of scale) to determine the optimal solution.