Hybrid Algorithms for Fuzzy Reverse Supply Chain Network Design
Joint Authors
Che, Z. H.
Chiang, Tzu-An
Kuo, Y. C.
Cui, Zhihua
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-24
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Che, Z. H.& Chiang, Tzu-An& Kuo, Y. C.& Cui, Zhihua. 2014. Hybrid Algorithms for Fuzzy Reverse Supply Chain Network Design. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-16.
https://search.emarefa.net/detail/BIM-1049846
Modern Language Association (MLA)
Che, Z. H.…[et al.]. Hybrid Algorithms for Fuzzy Reverse Supply Chain Network Design. The Scientific World Journal No. 2014 (2014), pp.1-16.
https://search.emarefa.net/detail/BIM-1049846
American Medical Association (AMA)
Che, Z. H.& Chiang, Tzu-An& Kuo, Y. C.& Cui, Zhihua. Hybrid Algorithms for Fuzzy Reverse Supply Chain Network Design. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-16.
https://search.emarefa.net/detail/BIM-1049846
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049846