Supply chain planning using multi‐stage stochastic programming
Supply chain planning using multi‐stage stochastic programming
复制标题
使用多阶段随机规划的供应链规划
DOI：
10.1108/13598540810871299
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
Karuna Jain
中科院分区：
文献类型：
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作者：
Lokesh Nagar;Karuna Jain
目的 - 本文的目的是探索多阶段规划方法在网络供应链结构上的功能。设计/方法/途径 - 考虑一般供应链结构，并使用两阶段规划方法开发供应链计划模型。相同的模型被扩展以涵盖多阶段规划方法的适用性和优点。研究结果——在供应链网络结构的不确定需求下，针对新产品发布的多阶段供应链模型已经开发出来。该模型可以同时确定最佳采购数量、不同工厂的生产数量、运输路线以及短缺情况下的外包成本。通过检查两个解决方案的目标值之间的差异，将所提出的多阶段模型与标准两阶段模型进行比较。该研究清楚地表明了多阶段模型与两阶段编程模型相比的重要性......
Purpose – The purpose of this paper is to explore the functionality of multistage programming approach on network supply chain structure.Design/methodology/approach – The general supply chain structure is considered and the supply chain planning model is developed using a two stage programming approach. The same model is extended to cover the applicability and advantages of a multi‐stage programming approach.Findings – A multi‐period supply chain model for new product launches under uncertain demand for supply chain network structure has been developed. The model allows simultaneous determination of optimum procurement quantity, production quantity across the different plants, transportation routes and the outsourcing cost in case of shortages. The proposed multi‐stage model is compared with the standard two‐stage model by examining the difference between the objective values of two solutions. The research clearly shows the importance of the multi‐stage model as compared to the two‐stage programming model...