A novel approach for multi-period reverse logistics network design under high uncertainty

Gül T. Temur, Seda Yanık

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

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 cloudbased 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.

Original languageEnglish
Pages (from-to)1168-1185
Number of pages18
JournalInternational Journal of Computational Intelligence Systems
Volume10
Issue number1
DOIs
Publication statusPublished - Jan 2017

Bibliographical note

Publisher Copyright:
© 2017, the Authors.

Funding

This research has been conducted in partial support of the Istanbul Technical University Scientific Research Projects (ITU-BAP) Grant #38319. The authors are thankful to ITU-BAP for this support.

FundersFunder number
Istanbul Teknik Üniversitesi
Bilimsel Araştırma Projeleri Birimi, İstanbul Teknik Üniversitesi#38319

    Keywords

    • Cloud based design optimization
    • Mixed integer programming
    • Network design
    • Reverse logistics
    • Uncertainty

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