Hybrid Algorithms for Fuzzy Reverse Supply Chain Network Design
In consideration of capacity constraints, fuzzy defect ratio, and fuzzy transport loss ratio, this paper attempted to establish an optimized decision model for production planning and distribution of a multiphase, multiproduct reverse supply chain, which addresses defects returned to original manufa...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/497109 |
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| _version_ | 1850174036560052224 |
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| author | Z. H. Che Tzu-An Chiang Y. C. Kuo Zhihua Cui |
| author_facet | Z. H. Che Tzu-An Chiang Y. C. Kuo Zhihua Cui |
| author_sort | Z. H. Che |
| collection | DOAJ |
| description | In consideration of capacity constraints, fuzzy defect ratio, and fuzzy transport loss ratio, this paper attempted to establish an optimized decision model for production planning and distribution of a multiphase, multiproduct reverse supply chain, which addresses defects returned to original manufacturers, and in addition, develops hybrid algorithms such as Particle Swarm Optimization-Genetic Algorithm (PSO-GA), Genetic Algorithm-Simulated Annealing (GA-SA), and Particle Swarm Optimization-Simulated Annealing (PSO-SA) for solving the optimized model. During a case study of a multi-phase, multi-product reverse supply chain network, this paper explained the suitability of the optimized decision model and the applicability of the algorithms. Finally, the hybrid algorithms showed excellent solving capability when compared with original GA and PSO methods. |
| format | Article |
| id | doaj-art-c713b94a0911460b805e8f2aecc1cad0 |
| institution | OA Journals |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-c713b94a0911460b805e8f2aecc1cad02025-08-20T02:19:44ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/497109497109Hybrid Algorithms for Fuzzy Reverse Supply Chain Network DesignZ. H. Che0Tzu-An Chiang1Y. C. Kuo2Zhihua Cui3Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, TaiwanDepartment of Business Administration, National Taipei College of Business, Taipei 10051, TaiwanDepartment of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, TaiwanComplex System and Computational Intelligent Laboratory, Taiyuan University of Science and Technology, Taiyuan 030024, ChinaIn consideration of capacity constraints, fuzzy defect ratio, and fuzzy transport loss ratio, this paper attempted to establish an optimized decision model for production planning and distribution of a multiphase, multiproduct reverse supply chain, which addresses defects returned to original manufacturers, and in addition, develops hybrid algorithms such as Particle Swarm Optimization-Genetic Algorithm (PSO-GA), Genetic Algorithm-Simulated Annealing (GA-SA), and Particle Swarm Optimization-Simulated Annealing (PSO-SA) for solving the optimized model. During a case study of a multi-phase, multi-product reverse supply chain network, this paper explained the suitability of the optimized decision model and the applicability of the algorithms. Finally, the hybrid algorithms showed excellent solving capability when compared with original GA and PSO methods.http://dx.doi.org/10.1155/2014/497109 |
| spellingShingle | Z. H. Che Tzu-An Chiang Y. C. Kuo Zhihua Cui Hybrid Algorithms for Fuzzy Reverse Supply Chain Network Design The Scientific World Journal |
| title | Hybrid Algorithms for Fuzzy Reverse Supply Chain Network Design |
| title_full | Hybrid Algorithms for Fuzzy Reverse Supply Chain Network Design |
| title_fullStr | Hybrid Algorithms for Fuzzy Reverse Supply Chain Network Design |
| title_full_unstemmed | Hybrid Algorithms for Fuzzy Reverse Supply Chain Network Design |
| title_short | Hybrid Algorithms for Fuzzy Reverse Supply Chain Network Design |
| title_sort | hybrid algorithms for fuzzy reverse supply chain network design |
| url | http://dx.doi.org/10.1155/2014/497109 |
| work_keys_str_mv | AT zhche hybridalgorithmsforfuzzyreversesupplychainnetworkdesign AT tzuanchiang hybridalgorithmsforfuzzyreversesupplychainnetworkdesign AT yckuo hybridalgorithmsforfuzzyreversesupplychainnetworkdesign AT zhihuacui hybridalgorithmsforfuzzyreversesupplychainnetworkdesign |