Optimizing Supplier Selection: A Comparative Study of Fuzzy VIKOR and Fuzzy Moora for Performance-Based Decision Making
Supplier selection is crucial in supply chain management, directly impacting operational efficiency and production continuity. This study compares two Multi-Criteria Decision Making (MCDM) techniques—Fuzzy VIekriterijumsko KOmpromisno Rangiranje (VIKOR) and Fuzzy Multi-Objective Optimizat...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10820330/ |
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| author | Johan Krisnanto Runtuk Steven Christanto Poh Kiat Ng |
| author_facet | Johan Krisnanto Runtuk Steven Christanto Poh Kiat Ng |
| author_sort | Johan Krisnanto Runtuk |
| collection | DOAJ |
| description | Supplier selection is crucial in supply chain management, directly impacting operational efficiency and production continuity. This study compares two Multi-Criteria Decision Making (MCDM) techniques—Fuzzy VIekriterijumsko KOmpromisno Rangiranje (VIKOR) and Fuzzy Multi-Objective Optimization based on Ratio Analysis (MOORA)—to optimize supplier selection for a manufacturing company in Indonesia facing single supplier dependency. Fuzzy logic is employed to reduce subjectivity and ambiguity in the selection process. The Fuzzy MOORA method achieved a sensitivity score of 16.7% compared to 0.00% for Fuzzy VIKOR, indicating higher responsiveness to changes in criteria weights. Additionally, Fuzzy MOORA reduced the supplier selection process time by 28.5% compared to the current system, demonstrating its efficiency in practical applications. In general, the Fuzzy MOORA is superior in terms of the performance level with a rate of 3 out of 4 factors including the computational times, simplicity, and mathematical calculation. This study contributes to enhancing supplier selection methodologies by providing a comparative analysis of these techniques in a real-world context. |
| format | Article |
| id | doaj-art-f7f077c096844c19ad8f15203ad5949f |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-f7f077c096844c19ad8f15203ad5949f2025-01-21T00:02:16ZengIEEEIEEE Access2169-35362025-01-01138456846810.1109/ACCESS.2024.352536210820330Optimizing Supplier Selection: A Comparative Study of Fuzzy VIKOR and Fuzzy Moora for Performance-Based Decision MakingJohan Krisnanto Runtuk0https://orcid.org/0009-0009-7401-2489Steven Christanto1Poh Kiat Ng2https://orcid.org/0000-0001-7995-8251Department of Industrial Engineering, Faculty of Engineering, President University, Bekasi, West Java, IndonesiaDepartment of Industrial Engineering, Faculty of Engineering, President University, Bekasi, West Java, IndonesiaFaculty of Engineering and Technology (FET), Multimedia University (MMU), Malacca, MalaysiaSupplier selection is crucial in supply chain management, directly impacting operational efficiency and production continuity. This study compares two Multi-Criteria Decision Making (MCDM) techniques—Fuzzy VIekriterijumsko KOmpromisno Rangiranje (VIKOR) and Fuzzy Multi-Objective Optimization based on Ratio Analysis (MOORA)—to optimize supplier selection for a manufacturing company in Indonesia facing single supplier dependency. Fuzzy logic is employed to reduce subjectivity and ambiguity in the selection process. The Fuzzy MOORA method achieved a sensitivity score of 16.7% compared to 0.00% for Fuzzy VIKOR, indicating higher responsiveness to changes in criteria weights. Additionally, Fuzzy MOORA reduced the supplier selection process time by 28.5% compared to the current system, demonstrating its efficiency in practical applications. In general, the Fuzzy MOORA is superior in terms of the performance level with a rate of 3 out of 4 factors including the computational times, simplicity, and mathematical calculation. This study contributes to enhancing supplier selection methodologies by providing a comparative analysis of these techniques in a real-world context.https://ieeexplore.ieee.org/document/10820330/Supplier selectionVIKORMOORAsensitivity analysisMCDMfuzzy logic |
| spellingShingle | Johan Krisnanto Runtuk Steven Christanto Poh Kiat Ng Optimizing Supplier Selection: A Comparative Study of Fuzzy VIKOR and Fuzzy Moora for Performance-Based Decision Making IEEE Access Supplier selection VIKOR MOORA sensitivity analysis MCDM fuzzy logic |
| title | Optimizing Supplier Selection: A Comparative Study of Fuzzy VIKOR and Fuzzy Moora for Performance-Based Decision Making |
| title_full | Optimizing Supplier Selection: A Comparative Study of Fuzzy VIKOR and Fuzzy Moora for Performance-Based Decision Making |
| title_fullStr | Optimizing Supplier Selection: A Comparative Study of Fuzzy VIKOR and Fuzzy Moora for Performance-Based Decision Making |
| title_full_unstemmed | Optimizing Supplier Selection: A Comparative Study of Fuzzy VIKOR and Fuzzy Moora for Performance-Based Decision Making |
| title_short | Optimizing Supplier Selection: A Comparative Study of Fuzzy VIKOR and Fuzzy Moora for Performance-Based Decision Making |
| title_sort | optimizing supplier selection a comparative study of fuzzy vikor and fuzzy moora for performance based decision making |
| topic | Supplier selection VIKOR MOORA sensitivity analysis MCDM fuzzy logic |
| url | https://ieeexplore.ieee.org/document/10820330/ |
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