Designing a Reliable and Dynamic Multimodal Transportation Network for Biofuel Supply Chains
Designing a Reliable and Dynamic Multimodal Transportation Network for Biofuel Supply Chains
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DOI：
10.1287/trsc.2015.0632
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发表时间：
2017-05
期刊：
影响因子：
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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
本文提出了一个具有成本效益和可靠的供应链网络设计模型的生物质被交付到生物燃料工厂。生物质体积庞大，因此可以使用铁路和驳船等运输方式来运送这种产品。因此，本研究的重点是生物燃料的多式联运供应链设计。生物质供应具有高度的季节性，但美国东南部生物质的高产季节往往与飓风和干旱季节相吻合或紧随其后，这两个季节都会影响运输。本文提出的动态多模式运输网络设计模型，使该供应链，以科普生物质供应的波动和对冲自然灾害。本文提出的混合整数非线性规划模型是一个求解困难的问题，我们提出了一种加速的Benders分解算法和一种混合滚动时域算法来求解该问题。我们测试了该算法的性能的案例研究，使用的数据从东南联合国…
This paper presents a cost-efficient and reliable supply chain network design model for biomass to be delivered to biofuel plants. Biomass is bulky, so transportation modes such as rail and barge can be used to deliver this product. For this reason, this study focuses on multimodal supply chain designs for biofuel. Biomass supply is highly seasonal, but the high production seasons for biomass in the Southeast United States often coincide with or are followed by hurricanes, and drought seasons, both of which impact transportation. The dynamic multimodel transportation network design model this paper presents enables this supply chain to cope with biomass supply fluctuations and to hedge against natural disasters. The mixed-integer nonlinear programming model proposed is an 𝒩𝒫-hard problem, and we develop an accelerated Benders decomposition algorithm and a hybrid rolling horizon algorithm to solve this problem. We tested the performance of the algorithm on a case study using data from the Southeast United ...