Two-stage stochastic programming supply chain model for biodiesel production via wastewater treatment
Two-stage stochastic programming supply chain model for biodiesel production via wastewater treatment
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DOI：
10.1016/j.cor.2014.03.010
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发表时间：
2014-09
期刊：
影响因子：
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通讯作者：
M. Marufuzzaman;S. Eksioglu;Yongxi Huang
中科院分区：
文献类型：
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作者：
M. Marufuzzaman;S. Eksioglu;Yongxi Huang
本文提出了一个两阶段随机规划模型，用于设计和管理生物柴油供应链。这是一个混合整数线性规划，是经典的两阶段随机位置-运输模型的推广。该模型不仅优化了成本，而且优化了供应链中的排放。该模型捕捉生物质供应和技术的不确定性对供应链相关决策的影响;存在于位置和运输决策之间的权衡;以及供应链中成本和排放之间的权衡。目标函数和模型约束反映了不同的碳监管政策，如碳上限，碳税，碳限额与交易，碳抵消机制对供应链决策的影响。我们解决这个问题使用的算法，结合联合收割机拉格朗日松弛和L形的解决方案的方法，我们开发了一个案例研究使用的数据从密西西比州。计算分析的结果指出了关于碳监管机制的影响以及生物原油供应链性能的不确定性的重要观察结果。
This paper presents a two-stage stochastic programming model used to design and manage biodiesel supply chains. This is a mixed-integer linear program and an extension of the classical two-stage stochastic location-transportation model. The proposed model optimizes not only costs but also emissions in the supply chain. The model captures the impact of biomass supply and technology uncertainty on supply chain-related decisions; the tradeoffs that exist between location and transportation decisions; and the tradeoffs between costs and emissions in the supply chain. The objective function and model constraints reflect the impact of different carbon regulatory policies, such as carbon cap, carbon tax, carbon cap-and-trade, and carbon offset mechanisms on supply chain decisions. We solve this problem using algorithms that combine Lagrangian relaxation and L-shaped solution methods, and we develop a case study using data from the state of Mississippi. The results from the computational analysis point to important observations about the impacts of carbon regulatory mechanisms as well as the uncertainties on the performance of biocrude supply chains.