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  • 标题:A Bi-Objective Green Closed Loop Supply Chain Design Problem with Uncertain Demand
  • 本地全文:下载
  • 作者:Liu, Ming ; Liu, Rongfan ; Zhu, Zhanguo
  • 期刊名称:Sustainability
  • 印刷版ISSN:2071-1050
  • 出版年度:2018
  • 卷号:10
  • 期号:4
  • 页码:1-22
  • 出版社:MDPI, Open Access Journal
  • 摘要: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.
  • 关键词:supply chain design; bi-objective optimization; chance constraint; algorithms
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