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Sustainability 2018, 10(4), 967; https://doi.org/10.3390/su10040967

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

1
School of Economics and Management, Tongji University, Shanghai 200092, China
2
College of Economics and Management, Nanjing Agricultural University, Nanjing 210095, China
3
Laboratoire Génie Industriel, Centrale Supélec, Uniersité Paris-Saclay, Grande Voie des Vignes, 92290 Châtenay-Malabry, France
4
Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China
*
Author to whom correspondence should be addressed.
Received: 7 March 2018 / Revised: 19 March 2018 / Accepted: 21 March 2018 / Published: 26 March 2018
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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. View Full-Text
Keywords: supply chain design; bi-objective optimization; chance constraint; algorithms supply chain design; bi-objective optimization; chance constraint; algorithms
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Liu, M.; Liu, R.; Zhu, Z.; Chu, C.; Man, X. A Bi-Objective Green Closed Loop Supply Chain Design Problem with Uncertain Demand. Sustainability 2018, 10, 967.

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