A modified priority-based encoding for design of a closed-loop supply chain network using a discrete league championship algorithm

Ghahremani Nahr, J, Kian, R ORCID: https://orcid.org/0000-0001-8786-6349 and Rezazadeh, H, 2018. A modified priority-based encoding for design of a closed-loop supply chain network using a discrete league championship algorithm. Mathematical Problems in Engineering, 2018: 8163927. ISSN 1024-123X

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Abstract

In a closed-loop supply chain network, the aim is to ensure a smooth fow of materials and attaining the maximum value from returning and end-of-life goods. Tis paper presents a single-objective deterministic mixed integer linear programming (MILP) model for the closed-loop supply chain (CLSC) network design problem consisting of plants, collection centers, disposal centers, and customer zones. Our model minimizes the total costs comprising fxed opening cost of plants, collection, disposal centers, and transportation costs of products among the nodes. As supply chain network design problems belong to the class of NP-hard problems, a novel league championship algorithm (LCA) with a modifed priority-based encoding is applied to fnd a near-optimal solution. New operators are defned for the LCA to search the discrete space. Numerical comparison of our proposed encoding with the existing approaches in the literature is indicative of the high quality performance of the proposed encoding.

Item Type:	Journal article
Publication Title:	Mathematical Problems in Engineering
Creators:	Ghahremani Nahr, J., Kian, R. and Rezazadeh, H.
Publisher:	Hindawi
Date:	17 May 2018
Volume:	2018
ISSN:	1024-123X
Identifiers:	Number Type 10.1155/2018/8163927 DOI
Rights:	Copyright © 2018 Javid Ghahremani Nahr et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Divisions:	Schools > Nottingham Business School
Record created by:	Jill Tomkinson
Date Added:	22 May 2018 10:24
Last Modified:	22 May 2018 10:24
URI:	https://irep.ntu.ac.uk/id/eprint/33644

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