Stochastic Programming Model for Lateral Transshipment Considering Rentals and Returns
Stochastic Programming Model for Lateral Transshipment Considering Rentals and Returns
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DOI：
10.1007/978-3-030-92666-3_14
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发表时间：
2021-12
期刊：
影响因子：
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通讯作者：
Keiya Kadota;Tetsuya Sato;T. Shiina
中科院分区：
文献类型：
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作者：
Keiya Kadota;Tetsuya Sato;T. Shiina
供应链管理是一个在不确定性条件下的大规模规划问题。在不确定的环境下，建立一个高效的供应链是非常重要的。有许多传统的横向转运模式只针对需求，但不包括租金和回报。本研究利用多期随机规划模型，以横向转运问题为例，提供租金与回报之间的不确定性。采用矩匹配方法减少了场景数目和计算时间，并通过对比实验验证了该模型的实用性。
Supply chain management is a large-scale planning under uncertainty. It is important to build an efficient supply chain under uncertain circumstances. There are numerous traditional lateral transshipment models targeting only demands but do not include rentals and returns. This study provides the uncertainty between rentals and returns by scenarios using a multi-period stochastic programming model of lateral transshipment problems. The moment matching method was used to reduce the number of scenarios and the computation time, and the comparative experiment demonstrated the utility of this model.