Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/7102
Title: | Multi-period reverse logistics network design | Authors: | Alumur, Sibel A. Nickel, Stefan Saldanha-da-Gama, Francisco Verter, Vedat |
Keywords: | Logistics Location WEEE Large household appliances |
Publisher: | Elsevier | Abstract: | The configuration of the reverse logistics network is a complex problem comprising the determination of the optimal sites and capacities of collection centers, inspection centers, remanufacturing facilities, and/or recycling plants. In this paper, we propose a profit maximization modeling framework for reverse logistics network design problems. We present a mixed-integer linear programming formulation that is flexible to incorporate most of the reverse network structures plausible in practice. In order to consider the possibility of making future adjustments in the network configuration to allow gradual changes in the network structure and in the capacities of the facilities, we consider a multi-period setting. We propose a multi-commodity formulation and use a reverse bill of materials in order to capture component commonality among different products and to have the flexibility to incorporate all plausible means in tackling product returns. The proposed general framework is justified by a case study in the context of reverse logistics network design for washing machines and tumble dryers in Germany. We conduct extensive parametric and scenario analysis to illustrate the potential benefits of using a dynamic model as opposed to its static counterpart, and also to derive a number of managerial insights. (C) 2012 Elsevier B.V. All rights reserved. | URI: | https://doi.org/10.1016/j.ejor.2011.12.045 https://hdl.handle.net/20.500.11851/7102 |
ISSN: | 0377-2217 1872-6860 |
Appears in Collections: | Endüstri Mühendisliği Bölümü / Department of Industrial Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Show full item record
CORE Recommender
SCOPUSTM
Citations
209
checked on Sep 7, 2024
WEB OF SCIENCETM
Citations
234
checked on Sep 7, 2024
Page view(s)
54
checked on Sep 9, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.