EconPapers    
Economics at your fingertips  
 

A bi-criteria model for closed loop supply chain network design

Subramanian Pazhani and A. Ravi Ravindran

International Journal of Operational Research, 2018, vol. 31, issue 3, 330-356

Abstract: Closed loop supply chains (CLSC) are the integration of both forward and reverse supply chains. The integration is important as independent operations and management of forward and reverse supply chains lead to a reduction in efficiency in the supply chain as a whole. This article considers a four-stage CLSC network with commercial returns, which could be potentially recovered by light repair operations or by refurbishing. The annual estimate of commercial returns in the USA is in excess of $100 billion. This paper discusses the optimal design of a CLSC network with the objectives of maximising the profit of the supply chain and minimising the energy usage at the warehousing facilities and energy consumed during transportation. A bi-criteria mixed integer linear programming (MILP) model is developed to determine the optimal locations of the facilities and the distribution of flows between facilities in the CLSC. We propose an interactive optimisation algorithm to systematically solve the bi-criteria problem which poses less cognitive burden on the decision maker and converges faster to the best compromise solution.

Keywords: closed loop supply chain; CLSC; bi-criteria mixed integer linear program; interactive optimisation; paired comparison method; PCM. (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=89735 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijores:v:31:y:2018:i:3:p:330-356

Access Statistics for this article

More articles in International Journal of Operational Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijores:v:31:y:2018:i:3:p:330-356