Multi-objective mathematical model for the redesign of supply chains considering financial criteria optimisation and scenarios

J. Escobar, Andres Arroyo Marin, Juan David Lince
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引用次数: 9

Abstract

This paper considers the redesign problem of a supply chain for mass consumer products, considering financial criteria and scenarios of demand. An established supply chain is adopted as the starting point. The central problem lies in determining the closure and consolidation of distribution centres. The problem is solved using a multi-objective mixed-integer linear programming model, considering two objective functions: the maximisation of the net present value (NPV) of the supply chain and the minimisation of the financial risk. The efficiency of the mathematical model is tested with real data from a Colombian multinational manufacturer of mass consumer products. The results confirm the model's efficiency and the positive impact on the determination of the NPV and the financial risk of the company.
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考虑财务标准优化和情景的供应链再设计多目标数学模型
本文考虑了大众消费品供应链的再设计问题,考虑了财务标准和需求情景。以已建立的供应链为起点。中心问题在于确定分销中心的关闭和合并。该问题采用多目标混合整数线性规划模型求解,考虑两个目标函数:供应链净现值(NPV)的最大化和财务风险的最小化。用哥伦比亚一家跨国大众消费品制造商的实际数据验证了该数学模型的有效性。结果证实了该模型的有效性,并对公司净现值和财务风险的确定产生了积极的影响。
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