A Bi-Objective Green Closed Loop Supply Chain Design Problem with Uncertain Demand
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 recy...
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| Veröffentlicht in: | Sustainability 2018-03, Vol.10 (4), p.967 |
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| creator | Liu, Ming Liu, Rongfan Zhu, Zhanguo Chu, Chengbin Man, Xiaoyi |
| description | 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. |
| doi_str_mv | 10.3390/su10040967 |
| format | Article |
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| ispartof | Sustainability, 2018-03, Vol.10 (4), p.967 |
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| language | eng |
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| source | MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals |
| subjects | Business competition Classification Competitive advantage Computer applications Computer simulation Constraint modelling Design for recycling Electronic commerce Genetic algorithms Multiple objective analysis Simulated annealing Sorting algorithms Supply chains Sustainability |
| title | A Bi-Objective Green Closed Loop Supply Chain Design Problem with Uncertain Demand |
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