A Capacitated Location-Inventory Model with Demand Selection
Joint Authors
Source
Journal of Advanced Transportation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-01-23
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In this paper, we consider an integrated supply chain network design problem, which incorporates inventory and pricing decisions into the capacitated facility location model.
We assume that each warehouse has a capacity limitation that limits the average demand flowing through the warehouse and that the supplier can choose whether to satisfy each potential retailer’s demand.
We formulate the problem as a nonlinear integer programming model and solve the model via a Lagrangian relaxation based approach.
We develop an efficient algorithm to solve the subproblem that arises from the Lagrangian relaxation procedure.
Finally, we conduct extensive computational experiments to test the performance of the algorithms proposed in this paper and provide the managerial insights based on the computational results.
American Psychological Association (APA)
Li, Zhengyi& Hai, Jiangtao. 2019. A Capacitated Location-Inventory Model with Demand Selection. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1169665
Modern Language Association (MLA)
Li, Zhengyi& Hai, Jiangtao. A Capacitated Location-Inventory Model with Demand Selection. Journal of Advanced Transportation No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1169665
American Medical Association (AMA)
Li, Zhengyi& Hai, Jiangtao. A Capacitated Location-Inventory Model with Demand Selection. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1169665
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169665