A Hybrid Genetic-Simulated Annealing Algorithm for the Location-Inventory-Routing Problem Considering Returns under E-Supply Chain Environment
Joint Authors
Guo, Hao
Fu, Jing
Li, Yanhui
Wang, Lin
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-28
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Facility location, inventory control, and vehicle routes scheduling are critical and highly related problems in the design of logistics system for e-business.
Meanwhile, the return ratio in Internet sales was significantly higher than in the traditional business.
Many of returned merchandise have no quality defects, which can reenter sales channels just after a simple repackaging process.
Focusing on the existing problem in e-commerce logistics system, we formulate a location-inventory-routing problem model with no quality defects returns.
To solve this NP-hard problem, an effective hybrid genetic simulated annealing algorithm (HGSAA) is proposed.
Results of numerical examples show that HGSAA outperforms GA on computing time, optimal solution, and computing stability.
The proposed model is very useful to help managers make the right decisions under e-supply chain environment.
American Psychological Association (APA)
Li, Yanhui& Guo, Hao& Wang, Lin& Fu, Jing. 2013. A Hybrid Genetic-Simulated Annealing Algorithm for the Location-Inventory-Routing Problem Considering Returns under E-Supply Chain Environment. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1032550
Modern Language Association (MLA)
Li, Yanhui…[et al.]. A Hybrid Genetic-Simulated Annealing Algorithm for the Location-Inventory-Routing Problem Considering Returns under E-Supply Chain Environment. The Scientific World Journal No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1032550
American Medical Association (AMA)
Li, Yanhui& Guo, Hao& Wang, Lin& Fu, Jing. A Hybrid Genetic-Simulated Annealing Algorithm for the Location-Inventory-Routing Problem Considering Returns under E-Supply Chain Environment. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1032550
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032550