A Unified Multiplicative Group Best-Worst Method with a New Assessment Approach for Dissimilar Markets

Atan, Tankut; Temur, Gül Tekin

doi:10.15388/23-INFOR528

Informatica

A Unified Multiplicative Group Best-Worst Method with a New Assessment Approach for Dissimilar Markets

Volume 34, Issue 3 (2023), pp. 465–489

Tankut Atan Gül Tekin Temur

https://doi.org/10.15388/23-INFOR528

Pub. online: 7 September 2023 Type: Research Article

Open Access

Received
1 March 2022

Accepted
1 September 2023

Published
7 September 2023

Abstract

The Best-Worst Method (BWM) is a recently introduced, innovative multi-criteria decision-making (MCDM) technique used to determine criterion weights for selection processes. However, another method is needed to complete the selection of the most preferred alternative. In this research, we propose a group decision-making methodology based on the multiplicative BWM to make this selection. Furthermore, we give new models that allow for groups with different best and worst criteria to exist. This capability is crucial in reconciling the differences among experts from various geographical locations with diverse evaluation perspectives influenced by social and cultural disparities. Our work contributes significantly in three ways: (1) we propose a BWM-based methodology for evaluating alternatives, (2) we present new linear models that facilitate decision-making for groups with different best and worst criteria, and (3) we develop a dissimilarity ratio to quantify the differences in expert opinions. The methodology is illustrated via numerical experiments for a global car company deciding which car model alternative to introduce in its markets.

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Biographies

Atan Tankut

sabritankut.atan@bau.edu.tr

Dr. T. Atan received his BS, MS, and PhD degrees in Industrial Engineering from Boğaziçi University, Iowa State University, and Iowa State University, respectively. After graduation, he worked at PROS, a leading pricing optimization company based in Houston, as a senior research scientist and product manager for several years. Upon returning to Turkey, he continued in academia and is currently a full professor in the Industrial Engineering Department of Bahçeşehir University. statistics in engineering, mathematical programming and modelling, and critical thinking are some of the courses he is currently teaching. His research interests include scheduling, optimization, and operations research in sports.

Temur Gül Tekin

gul.temur@bau.edu.tr

Dr. G.T. Temur received her BSc degree in management engineering from İstanbul Technical University in 2006, and her PhD degree from the same department in 2012. Her research focuses on supply chain management, reverse logistics, decision making, project management, and artificial intelligence. She was a visiting scholar at Otto von Guericke University in 2011 and at Munich Technical University in 2015. She has been serving as a full professor in the Industrial Engineering department at Bahçeşehir University since 2017.

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group decision-making multi-criteria decision-making multiplicative best-worst method linear programming

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