An Effective Hybrid Self-Adapting Differential Evolution Algorithm for the Joint Replenishment and Location-Inventory Problem in a Three-Level Supply Chain
Joint Authors
Chen, Tao
Yan, Fang-Ping
Wang, Lin
Qu, Hui
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-17
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
The integration with different decisions in the supply chain is a trend, since it can avoid the suboptimal decisions.
In this paper, we provide an effective intelligent algorithm for a modified joint replenishment and location-inventory problem (JR-LIP).
The problem of the JR-LIP is to determine the reasonable number and location of distribution centers (DCs), the assignment policy of customers, and the replenishment policy of DCs such that the overall cost is minimized.
However, due to the JR-LIP’s difficult mathematical properties, simple and effective solutions for this NP-hard problem have eluded researchers.
To find an effective approach for the JR-LIP, a hybrid self-adapting differential evolution algorithm (HSDE) is designed.
To verify the effectiveness of the HSDE, two intelligent algorithms that have been proven to be effective algorithms for the similar problems named genetic algorithm (GA) and hybrid DE (HDE) are chosen to compare with it.
Comparative results of benchmark functions and randomly generated JR-LIPs show that HSDE outperforms GA and HDE.
Moreover, a sensitive analysis of cost parameters reveals the useful managerial insight.
All comparative results show that HSDE is more stable and robust in handling this complex problem especially for the large-scale problem.
American Psychological Association (APA)
Wang, Lin& Qu, Hui& Chen, Tao& Yan, Fang-Ping. 2013. An Effective Hybrid Self-Adapting Differential Evolution Algorithm for the Joint Replenishment and Location-Inventory Problem in a Three-Level Supply Chain. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1032722
Modern Language Association (MLA)
Wang, Lin…[et al.]. An Effective Hybrid Self-Adapting Differential Evolution Algorithm for the Joint Replenishment and Location-Inventory Problem in a Three-Level Supply Chain. The Scientific World Journal No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-1032722
American Medical Association (AMA)
Wang, Lin& Qu, Hui& Chen, Tao& Yan, Fang-Ping. An Effective Hybrid Self-Adapting Differential Evolution Algorithm for the Joint Replenishment and Location-Inventory Problem in a Three-Level Supply Chain. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1032722
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032722