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A Systematic Literature Review of MABAC Method and Applications: An Outlook for Sustainability and Circularity
Volume 34, Issue 2 (2023), pp. 415–448
Pub. online: 28 February 2023      Type: Research Article      Open accessOpen Access
Received
1 July 2022
Accepted
1 February 2023
Published
28 February 2023

Abstract

Multiple Criteria Decision-Making (MCDM) is one of the most reliable and applicable decision-making tools to address real-life complex and multi-dimensional problems in accordance with the concepts of sustainable development and circular economy. Although there have been several literature reviews on several MCDM methods, there is a research gap in conducting a literature review on the Multi-Attributive Border Approximation area Comparison (MABAC) as a useful technique to deal with intelligent decision-making systems. This study attempts to present a comprehensive literature review of 117 articles on recent developments and applications of MABAC. Future outlook is provided considering challenges and current trends.

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Biographies

Torkayesh Ali Ebadi
https://orcid.org/0000-0002-1012-4213
ali.torkayesh@socecon.rwth-aachen.de

A.E. Torkayesh is a PhD candidate in management, business and economics at the RWTH Aachen University. He obtained his master’s degree in industrial engineering from Sabanci University. His research interests include decision support systems, mathematical modelling, optimization, data mining, and machine learning for applications in energy systems, transportation planning, and supply chain management.

Tirkolaee Erfan Babaee
https://orcid.org/0000-0003-1664-9210
erfan.babaee@istinye.edu.tr

E.B. Tirkolaee obtained his BSc (2012) and MSc (2014) in industrial engineering from Isfahan University of Technology in Isfahan, Iran. Then, he received his PhD degree (2019) in industrial engineering from Mazandaran University of Science and Technology in Babol, Iran. Dr. Erfan Babaee Tirkolaee is currently an assistant professor in the Department of Industrial Engineering at Istinye University in Istanbul, Turkey. He has published more than 80 papers in high-quality journals, including IEEE Transactions on Fuzzy Systems, Expert Systems with Applications, Waste Management, Journal of Cleaner Production, Computers & Industrial Engineering, Annals of Operations Research, etc. Dr. Erfan Babaee Tirkolaee is currently an associate editor of Expert Systems with Application and PLOS ONE. He has been featured among the “World’s Top 2% Researchers/Scientists in 2021” list identified by Elsevier BV, Stanford University. His research interests include OR, AI, MCDM, supply chain management and waste management.

Bahrini Aram
https://orcid.org/0000-0003-1552-8708
ab4pn@virginia.edu

A. Bahrini is a PhD candidate in systems engineering at the University of Virginia. He earned his bachelor’s degree in industrial engineering in Iran and has master’s degrees in industrial engineering from Kansas State University and in mathematics from the University of British Columbia. His research interests include mathematical modelling, optimization, game theory, business analytics, and data analytics with applications in areas such as water resource management, supply chain management, healthcare systems, and energy.

Pamucar Dragan
https://orcid.org/0000-0001-8522-1942
dpamucar@gmail.com

D. Pamucar is an associate professor at University of Belgrade, Faculty of Organizational Sciences. Dr. Pamucar obtained his PhD in applied mathematics with specialization of multi-criteria modelling and soft computing techniques, from University of Defence in Belgrade, Serbia in 2013, and an MSc degree from the Faculty of Transport and Traffic Engineering, in Belgrade, 2009. His research interest are in the field of computational intelligence, multi-criteria decision making problems, neuro-fuzzy systems, fuzzy, rough and intuitionistic fuzzy set theory, neutrosophic theory. Application areas include wide range of logistics and engineering problems. Dr. Pamucar has five books and over 220 research papers published in SCI indexed International Journals including Experts Systems with Applications, Applied Soft Computing, Soft Computing, Computational Intelligence, Computers and Industrial Engineering, Engineering Applications of Artificial Intelligence, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions of Fuzzy Systems, IEEE Transactions on Transportation Electrification, Information Sciences and many more. According to Scopus and Stanford University, he is among the world’s top 2% of scientists as of 2020. According to WoS and Clarivate, he is among top 1% of highly cited researchers.

Khakbaz Amir
https://orcid.org/0000-0003-3218-1873
a.khakbaz@du.ac.ir

A. Khakbaz is a faculty member of Damghan University. He received his PhD degree in industrial engineering from the Isfahan University of Technology. He is interested in several topics, such as logistics management, operations management, inventory management, and EOQ problems. Dr. Amir Khakbaz is an expert in mathematical modelling and numerical analysis. He usually addresses readers that are interested in topics such as the retail industry, cross-docking systems, central warehouses, EOQ models, technology-based products, life cycle, and replenishment policy.


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Keywords
MABAC Multi-Criteria Decision-Making systematic literature review sustainability circularity decision science

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