具有不确定参数的供应链数学建模

Raad Alzahrani
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引用次数: 0

摘要

供应链网络问题中的决策充满了许多不确定性。在本文中,我们讨论并说明了一个四层供应链网络,包括供应商、制造商、仓库和市场,该网络旨在解决单一产品的生产和运输问题。我们提出了一个鲁棒优化模型,该模型可用于分析与主要输入参数(包括需求、供应和成本参数)相关的不确定性,因为它不会影响原始确定性模型的复杂性。数学模型的目标是获得制造商和仓库的最优位置以及原材料和最终产品的数量,从而使包括处罚成本在内的总成本最小。
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Mathematical Modeling of a Supply Chain with Uncertain Parameters
Decision making in supply chain network problems is fraught with numerous uncertainties. In this paper, we discuss and illustrate a four-layer supply chain network including suppliers, manufacturers, warehouses, and markets, which is designed to address the production and transportation of a single product. We present a robust optimization model that is useful in analyzing uncertainties associated with the primary input parameters including demand, supply, and cost parameters since it does not affect the complexity of the original deterministic model. The objective of the mathematical model is to obtain the optimal location of manufacturers and warehouses as well as the quantities of raw materials and final products, which result in the minimum total costs including the penalty costs.
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