Inventory Control Method of Reverse Logistics for Shipping Electronic Commerce Based on Improved Multi-objective Particle Swarm Optimization Algorithm

Yang, W.; Xie, Q.L., and Li, M., 2018. Inventory control method of reverse logistics for shipping electronic commerce based on improved multi-objective particle swarm optimization algorithm. In: Liu, Z.L. and Mi, C. (eds.), Advances in Sustainable Port and Ocean Engineering. Journal of Coastal Resea...

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Bibliographic Details
Published in:Journal of coastal research Vol. 83; no. sp1; pp. 786 - 790
Main Authors: Yang, Wei, Xie, Qianglai, Li, Ming
Format: Journal Article
Language:English
Published: Fort Lauderdale Coastal Education and Research Foundation 04.05.2019
COASTAL EDUCATION & RESEARCH FOUNDATION, INC. [CERF]
Allen Press Inc
Subjects:
Algorithms
Commerce
Control
Control methods
Decision making
Electronic commerce
Evaluation
Heuristic methods
inventory control
Inventory management
Multi-objective particle swarm optimization algorithm
Multiple objective analysis
Particle swarm optimization
Product returns
Reverse logistics
Shipping
SHIPPING INDUSTRY
Supply chains
ISSN:0749-0208, 1551-5036
Online Access:Get full text
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Summary:Yang, W.; Xie, Q.L., and Li, M., 2018. Inventory control method of reverse logistics for shipping electronic commerce based on improved multi-objective particle swarm optimization algorithm. In: Liu, Z.L. and Mi, C. (eds.), Advances in Sustainable Port and Ocean Engineering. Journal of Coastal Research, Special Issue No. 83, pp. 786–790. Coconut Creek (Florida), ISSN 0749-0208. Based on the improved multi-objective particle swarm algorithm, a method of inventory control of reverse logistics for shipping electronic commerce was proposed. Through the multi-objective particle swarm optimization algorithm, the inventory of electronic commerce was distributed well, heuristic algorithm was used to get the optimal solution set conforming to the preference of decision maker. According to the target weights given by decision-maker, the utility evaluation of the optimal solution set was carried out. The maximum solution of utility evaluation value was selected as the optimal scheme to complete the inventory control of reverse logistics for shipping electronic commerce. Experimental results show that the proposed method can effectively complete the inventory control of reverse logistics for shipping electronic commerce.
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ISSN:0749-0208
1551-5036
DOI:10.2112/SI83-128.1