A Bi-Objective Green Closed Loop Supply Chain Design Problem with Uncertain Demand

Ming Liu, Rongfan Liu, Zhanguo Zhu, Chengbin Chu and Xiaoyi Man
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Ming Liu: School of Economics and Management, Tongji University, Shanghai 200092, China
Rongfan Liu: School of Economics and Management, Tongji University, Shanghai 200092, China
Zhanguo Zhu: College of Economics and Management, Nanjing Agricultural University, Nanjing 210095, China
Chengbin Chu: School of Economics and Management, Tongji University, Shanghai 200092, China
Xiaoyi Man: Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China

Sustainability, 2018, vol. 10, issue 4, 1-22

Abstract: With the development of e-commerce, competition among enterprises is becoming fiercer. Furthermore, environmental problems can no longer be ignored. To address these challenges, we devise a green closed loop supply chain (GCLSC) with uncertain demand. In the problem, two conflict objectives and recycling the used products are considered. To solve this problem, a mathematical model is formulated with the chance constraint, and the ϵ -constraint method is adapted to obtain the true Pareto front for small sized problems. For larger sized problems, the non-dominated sorting genetic algorithm (NSGA-II) and the multi-objective simulated annealing method (MOSA) are developed. Numerous computational experiments can help manufacturers make better production and sales plans to keep competitive advantage and protect the environment.

Keywords: supply chain design; bi-objective optimization; chance constraint; algorithms (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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