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An analytical method for cost analysis in multi-stage supply chains: A stochastic network model approach

机译:多阶段供应链成本分析的一种分析方法:随机网络模型方法

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摘要

This paper studies the cost distribution characteristics in multi-stage supply chain networks. Based on the graphical evaluation and review technique, we propose a novel stochastic network mathematical model for cost distribution analysis in multi-stage supply chain networks. Further, to investigate the effects of cost components, including the procurement costs, inventory costs, shortage costs, production costs and transportation costs of supply chain members, on the total supply chain operation cost, we propose the concept of cost sensitivity and provide corresponding algorithms based on the proposed stochastic network model. Then the model is extended to analyze the cost performance of supply chain robustness under different order compensation ability scenarios and the corresponding algorithms are developed. Simulation experiment shows the effectiveness and flexibility of the proposed model, and also promotes a better understanding of the model approach and its managerial implications in cost management of supply chains.
机译:本文研究了多阶段供应链网络中的成本分配特征。基于图形化评估和审查技术,我们提出了一种用于多阶段供应链网络中成本分布分析的新型随机网络数学模型。此外,为了研究成本要素(包括采购成本,库存成本,短缺成本,生产成本和供应链成员的运输成本)对供应链总运营成本的影响,我们提出了成本敏感性的概念并提供了相应的算法基于所提出的随机网络模型。然后对该模型进行了扩展,以分析在不同订单补偿能力情况下的供应链鲁棒性成本绩效,并开发了相应的算法。仿真实验证明了所提模型的有效性和灵活性,并促进了对模型方法及其对供应链成本管理的管理意义的更好理解。

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