Author ORCID Identifier

http://orcid.org/0000-0003-0821-8787 : Guoqing Zhang

Document Type

Article

Publication Date

3-15-2013

Publication Title

Applied Mathematical Modelling

Volume

37

Issue

6

First Page

4165

Last Page

4176

DOI

10.1016/j.apm.2012.09.039

Keywords

Reverse logistics (RL), Closed-loop supply chain (CLSC), Mixed-integer linear programming (MILP), Multi-objective programming, Stochastic programming

Abstract

A closed-loop supply chain (CLSC) network consists of both forward and reverse supply chains. In this paper, a CLSC network is investigated which includes multiple plants, collection centres, demand markets, and products. To this aim, a mixed-integer linear programming model is proposed that minimizes the total cost. Besides, two test problems are examined. The model is extended to consider environmental factors by weighed sums and ε-constraint methods. In addition, we investigate the impact of demand and return uncertainties on the network configuration by stochastic programming (scenario-based). Computational results show that the model can handle demand and return uncertainties, simultaneously.

Funding Reference Number

298482

Comments

Recommended citation:

Amin, S. H., & Zhang, G. (2013). A multi-objective facility location model for closed-loop supply chain network under uncertain demand and return. Applied Mathematical Modelling, 37(6), 4165-4176.

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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