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A Systematic Literature Review on MOORA Methodologies and Applications
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Mahdi Homayounfar    , Mehdi Fadaei * , Hamed Gheibdoust , Hamidreza Rezaee Kelidbari |
| Department of Industrial Management, Rasht Branch, Islamic Azad University, Rasht, Iran , fadaei@iaurasht.ac.ir |
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Abstract: (817 Views) |
Abstract: Recently, Multi-objective optimization by ratio analysis (MOORA) as a new and efficient Multiple-criteria decision-making (MCDM) method was applied in different areas for ranking alternatives and choosing the best ones. MOORA method evaluates the studied options by using positive and negative criteria. In this paper, a literature review is presented to study the MOORA methodology and its applications. So, all published papers in Science Direct journals are investigated and categorized from different perspectives (application area, journal of publication, year of publication, authors’ nationality, and type of data in form of fuzzy /crisp). The papers covered several filed: material selection, energy, welding process, and surface roughness, automotive and wire, fuel selection, logistics and transportation, heat transfer, optimization, and other topics. It is hoped that the study is useful for researchers and also a useful reference for practitioners and academics to improve their future research. The highest amount of using the MOORA method with the number of 15 articles is related to material selection, which shows the importance of using the MOORA method for material selection. And the lowest amount of using the MOORA method with the number of two articles is related to fuel selection. The present study was able to provide a framework for future research by reviewing the MOORA method. The results show that the MOORA method is one of the most efficient methods for evaluating options in different fields, which can be used in different areas.
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| Keywords: MOORA, MCDM, Application area, Literature Review, Methodologies, Applications |
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Full-Text [PDF 453 kb]
(2215 Downloads)
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Type of Study: Original |
Subject:
Mathematical Modeling and Applications of OR
Received: 2023/04/29 | Accepted: 2022/05/30 | Published: 2022/05/30
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