Author ORCID Identifier
http://orcid.org/0000-0003-0821-8787 : Guoqing Zhang
Document Type
Article
Publication Date
2013
Publication Title
International Journal of Production Research
Volume
51
Issue
5
First Page
1405
Keywords
reverse logistics (RL), closed-loop supply chain (CLSC), uncertainty, mixed-integer nonlinear programming (MINLP), fuzzy sets theory (FST)
Last Page
1425
Abstract
In this paper, a general closed-loop supply chain (CLSC) network is configured which consists of multiple customers, parts, products, suppliers, remanufacturing subcontractors, and refurbishing sites. We propose a three-stage model including evaluation, network configuration, and selection and order allocation. In the first stage, suppliers, remanufacturing subcontractors, and refurbishing sites are evaluated based on a new quality function deployment (QFD) model. The proposed QFD model determines the relationship between customer requirements, part requirements, and process requirements. In addition, the fuzzy sets theory is utilised to overcome the uncertainty in the decision-making process. In the second stage, the closed-loop supply chain network is configured by a stochastic mixed-integer nonlinear programming model. It is supposed that demand is an uncertain parameter. Finally in the third stage, suppliers, remanufacturing subcontractors, and refurbishing sites are selected and order allocation is determined. To this end, a multi-objective mixed-integer linear programming model is presented. An illustrative example is conducted to show the process. The main novel innovation of the proposed model is to consider the CLSC network configuration and selection process simultaneously, under uncertain demand and in an uncertain decision-making environment.
DOI
10.1080/00207543.2012.693643
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 three-stage model for closed-loop supply chain configuration under uncertainty. International Journal of Production Research, 51 (5), 1405-1425.
https://scholar.uwindsor.ca/mechanicalengpub/11
Included in
Business Administration, Management, and Operations Commons, Business Intelligence 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 three-stage model for closed-loop supply chain configuration under uncertainty. International Journal of Production Research, 51(5), 1405-1425.