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Optimizing the Joint Replenishment and Channel Coordination Problem under Supply Chain Environment Using a Simple and Effective Differential Evolution Algorithm
Joint Authors
Liu, Shan
Chen, Can
Wang, Lin
Qu, Hui
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-17
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This paper presents a useful and practical procurement approach using the joint replenishment and channel coordination (JR-CC) policy in a two-echelon supply chain considering the coordination cost.
The objective is to determine a basic replenishment cycle time and the replenishment interval to minimize the total cost of the supply chain.
To solve this NP-hard problem, a simple and improved differential evolution algorithm (IDE) is developed.
The performance of the IDE is verified by benchmark functions.
Moreover, results of comparative numerical example show the effectiveness of the proposed IDE.
IDE can be used as a good candidate for the JR-CC model.
Results of numerical examples also indicate that the JR-CC policy can result in considerable cost saving, and enhance the efficiency of a supply chain.
But not all members in the supply chain can benefit a lot using this policy.
Moreover, results of sensitivity analysis show that retailers have more willingness to adopt the JR-CC policy than the manufacturers because of the different cost savings.
American Psychological Association (APA)
Wang, Lin& Qu, Hui& Liu, Shan& Chen, Can. 2014. Optimizing the Joint Replenishment and Channel Coordination Problem under Supply Chain Environment Using a Simple and Effective Differential Evolution Algorithm. Discrete Dynamics in Nature and Society،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-492397
Modern Language Association (MLA)
Wang, Lin…[et al.]. Optimizing the Joint Replenishment and Channel Coordination Problem under Supply Chain Environment Using a Simple and Effective Differential Evolution Algorithm. Discrete Dynamics in Nature and Society No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-492397
American Medical Association (AMA)
Wang, Lin& Qu, Hui& Liu, Shan& Chen, Can. Optimizing the Joint Replenishment and Channel Coordination Problem under Supply Chain Environment Using a Simple and Effective Differential Evolution Algorithm. Discrete Dynamics in Nature and Society. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-492397
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-492397