Resource Allocation Optimization Model of Collaborative Logistics Network Based on Bilevel Programming

Joint Authors

Xu, Xiaofeng
Chang, Wei-hong
Liu, Jing

Source

Scientific Programming

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

Mathematics

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