期刊
SUSTAINABILITY
卷 10, 期 4, 页码 -出版社
MDPI
DOI: 10.3390/su10040967
关键词
supply chain design; bi-objective optimization; chance constraint; algorithms
资金
- National Natural Science Foundation of China (NSFC) [71531011, 71428002, 71771048, 71571134]
- Fundamental Research Funds for the Central Universities
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 e-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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据