Resource Allocation Optimization Model of Collaborative Logistics Network Based on Bilevel Programming
Joint Authors
Xu, Xiaofeng
Chang, Wei-hong
Liu, Jing
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-22
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Collaborative logistics network resource allocation can effectively meet the needs of customers.
It can realize the overall benefit maximization of the logistics network and ensure that collaborative logistics network runs orderly at the time of creating value.
Therefore, this article is based on the relationship of collaborative logistics network supplier, the transit warehouse, and sellers, and we consider the uncertainty of time to establish a bilevel programming model with random constraints and propose a genetic simulated annealing hybrid intelligent algorithm to solve it.
Numerical example shows that the method has stronger robustness and convergence; it can achieve collaborative logistics network resource allocation rationalization and optimization.
American Psychological Association (APA)
Xu, Xiaofeng& Chang, Wei-hong& Liu, Jing. 2017. Resource Allocation Optimization Model of Collaborative Logistics Network Based on Bilevel Programming. Scientific Programming،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1203414
Modern Language Association (MLA)
Xu, Xiaofeng…[et al.]. Resource Allocation Optimization Model of Collaborative Logistics Network Based on Bilevel Programming. Scientific Programming No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1203414
American Medical Association (AMA)
Xu, Xiaofeng& Chang, Wei-hong& Liu, Jing. Resource Allocation Optimization Model of Collaborative Logistics Network Based on Bilevel Programming. Scientific Programming. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1203414
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1203414