Location Model for Distribution Centers for Fulfilling Electronic Orders of Fresh Foods under Uncertain Demand
Joint Authors
Zhang, Hao
Xiong, Ying
He, Mingke
Qu, Chongchong
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-19
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The problem of locating distribution centers for delivering fresh food as a part of electronic commerce is a strategic decision problem for enterprises.
This paper establishes a model for locating distribution centers that considers the uncertainty of customer demands for fresh goods in terms of time-sensitiveness and freshness.
Based on the methodology of robust optimization in dealing with uncertain problems, this paper optimizes the location model in discrete demand probabilistic scenarios.
In this paper, an improved fruit fly optimization algorithm is proposed to solve the distribution center location problem.
An example is given to show that the proposed model and algorithm are robust and can effectively handle the complications caused by uncertain demand.
The model proposed in this paper proves valuable both theoretically and practically in the selection of locations of distribution centers.
American Psychological Association (APA)
Zhang, Hao& Xiong, Ying& He, Mingke& Qu, Chongchong. 2017. Location Model for Distribution Centers for Fulfilling Electronic Orders of Fresh Foods under Uncertain Demand. Scientific Programming،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1203368
Modern Language Association (MLA)
Zhang, Hao…[et al.]. Location Model for Distribution Centers for Fulfilling Electronic Orders of Fresh Foods under Uncertain Demand. Scientific Programming No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1203368
American Medical Association (AMA)
Zhang, Hao& Xiong, Ying& He, Mingke& Qu, Chongchong. Location Model for Distribution Centers for Fulfilling Electronic Orders of Fresh Foods under Uncertain Demand. Scientific Programming. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1203368
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1203368