Supply Chain Analysis and Design: Case Study on Logistics
VerifiedAdded on 2023/06/08
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Case Study
AI Summary
This case study analyzes a logistics and supply chain scenario, employing a linear programming model to determine the optimal production levels for a four-month period to minimize total production costs. It calculates the required number of workers, closing inventory, and optimal production schedules. The analysis includes detailed breakdowns of costs, such as raw materials, labor (standard and overtime), hiring and firing costs, and holding costs. The optimal production schedule is presented with monthly production figures, opening and closing stock, and demand. The analysis also examines the impact of the number of employees on total business costs, highlighting the relationship between labor and profitability, and the use of a graph to visualize the cost variations with the number of workers. The total production cost is computed, and various cost components are detailed, offering a comprehensive understanding of the financial aspects involved in supply chain management.
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