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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Publicado en:Scientific World Journal pp. 497109 - 497110
Autores principales: Che, Z H, Chiang, Tzu-An, Kuo, Y C, Cui, Zhihua
Formato: research Journal Article
Publicado: Wiley-Blackwell 2014
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Wiley-Blackwell
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      tig:
        atl: Hybrid algorithms for fuzzy reverse supply chain network design.
      aug:
        au:
          Che, Z H
          Chiang, Tzu-An
          Kuo, Y C
          Cui, Zhihua
        affil: Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, Taiwan.
      sug:
        subj:
          Algorithms
          Logic
          Models, Theoretical
      ab: 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.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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