Research on Mixed Intelligent Arithmetic of Reuse Reverse Logistics Centers' Location Model

Article Preview

Abstract:

The paper builds the model of direct reuse reverse logistics center location followed by the uncertainty random variables of the demand of retailers and the recovery of collection points. This model assumes that the enterprises are expanding on the traditional network. For the random variables, they will be solved by using stochastic simulation, genetic algorithm and linear programming, and numericai exampie is presented.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 945-949)

Pages:

3246-3251

Citation:

Online since:

June 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Madansky A. Inequalities for stochastic linear programming problems [J] Management Science, 1960, 6: 197-204.

DOI: 10.1287/mnsc.6.2.197

Google Scholar

[2] Zhou. J and Liu B. New stochastic models for capacitated location-allocation problem. Computers&Industrial Engineering, 2003, 45(1): 111-125.

DOI: 10.1016/s0360-8352(03)00021-4

Google Scholar

[3] D.D. Liu, R.Q. Zhao, Stochastic programming and fuzzy programming[M]. Beijing: Tsinghua University Press,(2001).

Google Scholar