A two-stage chance-constrained stochastic programming model for a bio-fuel supply chain network

被引：85

作者：

Quddus, Md Abdul ^{[1
]}

Chowdhury, Sudipta ^{[1
]}

Marufuzzaman, Mohammad ^{[1
]}

Yu, Fei ^{[2
]}

Bian, Linkan ^{[1
]}

机构：

[1] Mississippi State Univ, Dept Ind & Syst Engn, Starkville, MS 39759 USA

[2] Mississippi State Univ, Dept Agr & Biol Engn, Starkvile, MS 39759 USA

来源：

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS | 2018年 / 195卷

关键词：

Bio-fuel supply chain network; Multi-modal facility; Chance-constrained optimization; Sample average approximation; SAMPLE AVERAGE APPROXIMATION; MUNICIPAL SOLID-WASTE; EXPECTED VALUE; PROCESSING DEPOTS; DISRUPTION RISKS; LOCATION DESIGN; OPTIMIZATION; MANAGEMENT; DECOMPOSITION; UNCERTAINTY;

D O I：

10.1016/j.ijpe.2017.09.019

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This study presents a two-stage chance-constrained stochastic programming model that captures the uncertainties due to feedstock seasonality in a bio-fuel supply chain network. The chance-constraint ensures that, with a high probability, Municipal Solid Waste (MSW) will be utilized for bio-fuel production. To solve our proposed optimization model, we use a combined sample average approximation algorithm. We use the state of Mississippi as a testing ground to visualize and validate the modeling results. Our computational experiments reveal some insightful results about the impact of MSW utilization on a bio-fuel supply chain network performance.

引用

页码：27 / 44

页数：18

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