The use of data envelopment analysis in evaluating pareto optimal solutions of the sustainable supply chain models

Alperen Bal*, Sule Itir Satoglu

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

10 Citations (Scopus)

Abstract

The background of sustainability is summed up by three words: Planet, People, and Profit. The 3Ps of sustainability require multi-objective research. This study analyzes the evaluation process of multi-objective optimization. Since it is highly critical for decision makers to understand the results of multi-objective models, the Data Envelopment Analysis (DEA) approach is used to put Pareto-optimal results of the model in an order and to analyze them. A case study of a reverse supply chain model with four objectives namely economic, social, environmental and legal is taken into consideration. Results of the DEA showed that the method can be effectively used in interpreting the results both for academics and practitioners.

Original languageEnglish
Pages (from-to)485-492
Number of pages8
JournalProcedia Manufacturing
Volume33
DOIs
Publication statusPublished - 2019
Event16th Global Conference on Sustainable Manufacturing, GCSM 2018 - Lexington, United States
Duration: 2 Oct 20184 Oct 2018

Bibliographical note

Publisher Copyright:
© 2019 The Authors. Published by Elsevier B.V.

Funding

This research has been financially supported by Istanbul Technical University as a scientific research project with project numbered 39970.

FundersFunder number
Istanbul Teknik Üniversitesi39970

    Keywords

    • DEA
    • End-of-life equipment
    • Mulri-objective optimization
    • Sustainability

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