Managing congestion in supply chains via dynamic freight routing: An application in the biomass supply chain
Managing congestion in supply chains via dynamic freight routing: An application in the biomass supply chain
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DOI：
10.1016/j.tre.2017.01.005
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发表时间：
2017-03
影响因子：
10.6
通讯作者：
M. Marufuzzaman;S. Eksioglu
中科院分区：
文献类型：
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作者：
M. Marufuzzaman;S. Eksioglu
本文通过动态货运路线和在一年的不同时间段使用多模式设施来管理供应链中的拥塞。建议的混合整数非线性规划（MINLP）模型捕捉投资，运输和拥堵管理决策之间存在的权衡。一个线性近似的建议MINLP模型，然后解决了使用混合Benders为基础的滚动时域算法。该算法的性能进行了测试的案例研究，使用的数据从美国东南部的生物质供应链网络。大量的数值实验提供了管理的见解，以管理拥塞的生物质供应链网络。
This paper manages congestion in the supply chain via dynamic freight routing and using multi-modal facilities in different time periods of a year. The proposed mixed integer non-linear program (MINLP) model captures the trade-offs that exists between investment, transportation, and congestion management decisions. A linear approximation of the proposed MINLP model is then solved using a hybrid Benders-based rolling horizon algorithm. The performance of the algorithm is tested on a case study that uses data from the Southeast USA biomass supply chain network. Extensive numerical experiments provide managerial insights to manage congestion from the biomass supply chain network.