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Developing of a Novel Integrated MCDM MULTIMOOSRAL Approach for Supplier Selection
Volume 32, Issue 1 (2021), pp. 145–161
Pub. online: 10 March 2021      Type: Research Article      Open accessOpen Access
Received
1 December 2020
Accepted
1 March 2021
Published
10 March 2021

Abstract

The main aim of the article is to propose a new multiple criteria decision-making approach for selecting alternatives, the newly-developed MULTIMOOSRAL approach, which integrates advantages of the three well-known and prominent multiple-criteria decision-making methods: MOOSRA, MOORA, and MULTIMOORA. More specifically, the MULTIMOOSRAL method has been further upgraded with an approach that can be clearly seen in the well-known WASPAS and CoCoSo methods, which rely on the integration of weighted sum and weighted product approaches. In addition to the above approaches, the MULTIMOOSRAL method also integrates a logarithmic approximation approach. The expectation from the development of this method is that the integration of several approaches can provide a much more reliable selection of the most appropriate alternative, which can be very important in cases where the performance of alternatives obtained by using some other method does not differ much. Finally, the ranking of alternatives based on the dominance theory, used in the MOORA and MULTIMOORA methods, is replaced by a new original approach that should allow a much simpler final ranking of alternatives in order to reach a stronger result with five different techniques. The suitability and efficacy of the proposed MULTIMOOSRAL approach are presented through an illustrative case study of the supplier selection.

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Biographies

Ulutaş Alptekin
aulutas@cumhuriyet.edu.tr

A. Ulutaş, PhD, is an assistant professor at the Department of International Trade and Logistics, Faculty of Economics and Administrative Sciences Sivas Cumhuriyet University Sivas Turkey. He has received his PhD degree from University of Wollongong, in 2016. His research area is optimization and multiple-criteria decision-making, fuzzy and stochastic programming.

Stanujkic Dragisa
dstanujkic@tfbor.bg.ac.rs

D. Stanujkic, PhD, is an associate professor of information technology at the Technical Faculty in Bor, University of Belgrade. He has received his MSc degree in information science and PhD in organizational sciences from the Faculty of Organizational Sciences, University of Belgrade. His current research is focused on decision-making theory, expert systems and intelligent decision support systems.

Karabasevic Darjan
darjan.karabasevic@mef.edu.rs

D. Karabasevic, PhD, is an associate professor of management and informatics and a Vice-dean for scientific research at the Faculty of Applied Management, Economics and Finance, University Business Academy in Novi Sad. He obtained his degrees at all the levels of studies (BSc appl. in economics, BSc in economics, academic specialization in the management of business information systems and PhD in management and business) at the Faculty of Management in Zajecar, John Naisbitt University Belgrade. His current research is focused on the informatics, management and decision-making theory.

Popovic Gabrijela
gabrijela.popovic@mef.edu.rs

G. Popovic, PhD, is an associate professor of management and informatics at the Faculty of Applied Management, Economics and Finance, Belgrade, University Business Academy in Novi Sad. She obtained her MSc and PhD degree at the Faculty of Management in Zajecar, Megatrend University Belgrade. Her current research is directed towards decision-making theory, management, tourism, and natural resource management.

Zavadskas Edmundas Kazimieras
Edmundas.Zavadskas@vgtu.lt

E.K. Zavadskas, PhD, DSc, D.h.c. multi. prof., professor of Department of Construction Management and Real Estate, director of Institute of Sustainable Construction, Faculty of Civil Engineering, Vilnius Gediminas Technical University, Lithuania. Chief research fellow at Laboratory of Operational Research. PhD in building structures (1973). Dr Sc. (1987) in building technology and management. A member of Lithuanian and several foreign Academies of Sciences. Doctore Honoris Causa from Poznan, Saint-Petersburg and Kiev universities. The honourary international chair professor in the National Taipei University of Technology. A member of international organizations; a member of steering and programme committees at many international conferences; a member of the editorial boards of several research journals; the author and co-author of more than 400 papers and a number of monographs in Lithuanian, English, German and Russian. Founding editor of journals Technological and Economic Development of Economy and Journal of Civil Engineering and Management. Research interests: multi-criteria decision making; civil engineering, energy, sustainable development, fuzzy set theory, fuzzy multi-criteria decision making, sustainability.

Smarandache Florentin
smarand@unm.edu

F. Smarandache is a professor of mathematics at the University of New Mexico, USA. He has published many papers and books on neutrosophic set and logic and their applications and has presented in many international conferences. He received his MSc in mathematics and computer science from the University of Craiova, Romania; his PhD from the State University of Kishinev; and his post-doctoral in applied mathematics from Okayama University of Sciences, Japan.

Brauers Willem K.M.
willem.brauers@uantwerpen.be

W.K.M. Brauers, doctor honoris causa Vilnius Gediminas Technical University, was graduated as: PhD in economics (unv. of Leuven), master of arts (in economics) of Columbia University (New York), master in economics, master in management and financial sciences, master in political and diplomatic sciences and bachelor in philosophy (all in the University of Leuven). He is professor ordinarius at the Faculty of Applied Economics of the University of Antwerp, honourary professor at the University of Leuven, the Belgian War College, the School of Military Administrators and the Antwerp Business School. His scientific publications consist of eighteen books and several hundreds of articles and reports in English, Dutch and French.


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Keywords
MOOSRA MOORA MULTIMOORA logarithmic approximation MULTIMOOSRAL MCDM

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