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
Keywords
Reverse logistics (RL), Closed-loop supply chain (CLSC), Mixed-integer linear programming (MILP), Multi-objective programming, Stochastic programming
Last Page
4176
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.
DOI
10.1016/j.apm.2012.09.039
Funding Reference Number
298482
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Amin, Saman Hassanzadeh and Zhang, Guoqing. (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.
https://scholar.uwindsor.ca/mechanicalengpub/12
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Business Administration, Management, and Operations Commons, Business Intelligence Commons, Environmental Engineering Commons, Industrial Engineering Commons, Management Sciences and Quantitative Methods Commons, Operations and Supply Chain Management Commons
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.