Two-stage stochastic programming supply chain model for biodiesel production via wastewater treatment

被引:116
作者
Marufuzzaman, Mohammad [1 ]
Eksioglu, Sandra D. [1 ]
Huang, Yongxi [2 ]
机构
[1] Mississippi State Univ, Dept Ind & Syst Engn, Mississippi State, MS 39762 USA
[2] Clemson Univ, Dept Civil Engn, Clemson, SC 29634 USA
基金
美国国家科学基金会;
关键词
Biodiesel supply chain; Stochastic programming; Lagrangian relaxation with multi-cut L-shaped algorithm; Carbon regulatory mechanisms; ALGORITHM; DECOMPOSITION; MANAGEMENT; LOCATION; 1ST-STAGE; DESIGN; SYSTEM;
D O I
10.1016/j.cor.2014.03.010
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1 / 17
页数:17
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