A GREY HYBRID MODEL TO SELECT THE OPTIMAL THIRD-PARTY LOGISTICS PROVIDER

Authors

DOI:

https://doi.org/10.7166/32-1-2126

Keywords:

Grey CODAS, Grey SWARA, MCDM

Abstract

Enterprises need to work with a proper third-party logistics provider to reduce costs and increase their logistics performance; so the third-party logistics (3PL) provider selection problem is a significant one for them. In this study, grey step-wise weight assessment ratio analysis (SWARA) and grey combinative distance-based assessment (CODAS) are proposed to address this problem. To the best of the authors’ knowledge, no otherstudy uses grey SWARA and grey CODAS together to solve any problem. Therefore a new grey hybrid model incorporating grey SWARA and grey CODAS is proposed to identify the best 3PL provider.

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Author Biography

Alptekin Ulutaş, International Trade and Logistics Department, Cumhuriyet University, Sivas, Turkey

Alptekin Ulutaş is assistant professor in International Trade and Logistics Dept. at Cumhuriyet University in Sivas, Turkey. He has taken a PhD degree from University of Wollongong in February 2016. He has been serving as assistant professor at the Faculty of Economics and Administrative Sciences at Cumhuriyet University since June 2017. So far, he has written 16 articles and 11 conference papers in total. His research area is optimization and multi-criteria decision making, fuzzy and stochastic programming. 

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Published

2021-05-28

How to Cite

Ulutaş, A. (2021). A GREY HYBRID MODEL TO SELECT THE OPTIMAL THIRD-PARTY LOGISTICS PROVIDER. The South African Journal of Industrial Engineering, 32(1), 171–181. https://doi.org/10.7166/32-1-2126

Issue

Vol. 32 No. 1 (2021)

Section

Case Studies

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