Volume 10, Issue 1, 2017, Pages 1168 - 1185
A Novel Approach for Multi-Period Reverse Logistics Network Design under High Uncertainty
Authors
Gül T. Temur1, gul.temur@eng.bau.edu.tr, Seda Yanık2, sedayanik@itu.edu.tr
1Bahçeşehir University, Management Engineering Department, Çırağan Caddesi, Osmanpaşa Mektebi Sokak, No: 4-6, 34353 Beşiktaş, Istanbul / Türkiye
2Istanbul Technical University, Industrial Engineering Department, 34367, Macka, Istanbul
Received 10 August 2016, Accepted 4 August 2017, Available Online 21 August 2017.
- DOI
- 10.2991/ijcis.2017.10.1.77How to use a DOI?
- Keywords
- Cloud based design optimization; reverse logistics; uncertainty; network design; mixed integer programming
- Abstract
In this paper, a multi-period multi-echelon reverse logistics network design problem under high extent of uncertainty is addressed. We first formulate and then solve the multi-period network design model using the cloud-based design optimization framework which ensures to: (1) handle high number of uncertain factors; (2) propose alternative solution to traditional approaches; (3) provide a robust solution which strengthens decision makers against unexpected situations. Finally, applicability of the presented approach is tested through a dataset of e-waste reverse logistics network.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
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TY - JOUR AU - Gül T. Temur AU - Seda Yanık PY - 2017 DA - 2017/08/21 TI - A Novel Approach for Multi-Period Reverse Logistics Network Design under High Uncertainty JO - International Journal of Computational Intelligence Systems SP - 1168 EP - 1185 VL - 10 IS - 1 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.2017.10.1.77 DO - 10.2991/ijcis.2017.10.1.77 ID - Temur2017 ER -