期刊
IFAC PAPERSONLINE
卷 49, 期 12, 页码 616-621出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ifacol.2016.07.743
关键词
closed-loop supply chain; network design; uncertainty; remanufacturing; modal interval; genetic algorithm
资金
- National High Technology Research and Development Program [2013AA040206]
- National Key Technology RD Program [2015BAF06B06]
This paper proposes a modal interval based genetic algorithm to solve the closed-loop supply chain network configuration puzzle under uncertainty. In this special network, the retailer dominates the collection and remanufacturing activities, and sets up dedicate remanufacturing centers to remanufacture the components disassembled from the end of life excavators. This paper applies the modal intervals to characterize the uncertain parameters and combine the modal interval analysis with the genetic algorithm to solve the proposed modal interval linear programming problem. Moreover, three different decision criteria are adopted to analyze the optimal decisions of the remanufacturer. The results confirm that the proposed method can successfully determine the location of different facilities and the allocation of the products and components. (C) 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
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