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A stochastic optimization model for integrated forward/reverse logistics network design

Authors
Journal
Journal of Manufacturing Systems
0278-6125
Publisher
Elsevier
Publication Date
Volume
28
Issue
4
Identifiers
DOI: 10.1016/j.jmsy.2010.05.001
Disciplines
  • Computer Science
  • Design
  • Mathematics

Abstract

Abstract In this paper, we develop a stochastic programming model for an integrated forward/reverse logistics network design under uncertainty. First, an efficient deterministic mixed integer linear programming model is developed for integrated logistics network design to avoid the sub-optimality caused by the separate design of the forward and reverse networks. Then the stochastic counterpart of the proposed MILP model is developed by using scenario-based stochastic approach. Numerical results show the power of the proposed stochastic model in handling data uncertainty.

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