Designing a Multistage Supply Chain in Cross-Stage Reverse Logistics Environments: Application of Particle Swarm Optimization Algorithms
Joint Authors
Che, Z. H.
Chiang, Tzu-An
Cui, Zhihua
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-18
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This study designed a cross-stage reverse logistics course for defective products so that damaged products generated in downstream partners can be directly returned to upstream partners throughout the stages of a supply chain for rework and maintenance.
To solve this reverse supply chain design problem, an optimal cross-stage reverse logistics mathematical model was developed.
In addition, we developed a genetic algorithm (GA) and three particle swarm optimization (PSO) algorithms: the inertia weight method (PSOA_IWM), V Max method (PSOA_VMM), and constriction factor method (PSOA_CFM), which we employed to find solutions to support this mathematical model.
Finally, a real case and five simulative cases with different scopes were used to compare the execution times, convergence times, and objective function values of the four algorithms used to validate the model proposed in this study.
Regarding system execution time, the GA consumed more time than the other three PSOs did.
Regarding objective function value, the GA, PSOA_IWM, and PSOA_CFM could obtain a lower convergence value than PSOA_VMM could.
Finally, PSOA_IWM demonstrated a faster convergence speed than PSOA_VMM, PSOA_CFM, and the GA did.
American Psychological Association (APA)
Chiang, Tzu-An& Che, Z. H.& Cui, Zhihua. 2014. Designing a Multistage Supply Chain in Cross-Stage Reverse Logistics Environments: Application of Particle Swarm Optimization Algorithms. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-19.
https://search.emarefa.net/detail/BIM-1050259
Modern Language Association (MLA)
Chiang, Tzu-An…[et al.]. Designing a Multistage Supply Chain in Cross-Stage Reverse Logistics Environments: Application of Particle Swarm Optimization Algorithms. The Scientific World Journal No. 2014 (2014), pp.1-19.
https://search.emarefa.net/detail/BIM-1050259
American Medical Association (AMA)
Chiang, Tzu-An& Che, Z. H.& Cui, Zhihua. Designing a Multistage Supply Chain in Cross-Stage Reverse Logistics Environments: Application of Particle Swarm Optimization Algorithms. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-19.
https://search.emarefa.net/detail/BIM-1050259
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050259