Citation

Runtuk, Johan Krisnanto and Christanto, Steven and Ng, Poh Kiat (2025) Optimizing Supplier Selection: A Comparative Study of Fuzzy VIKOR and Fuzzy Moora for Performance-Based Decision Making. IEEE Access, 13. pp. 8456-8468. ISSN 2169-3536

Text Optimizing_Supplier.pdf - Published Version Restricted to Repository staff only Download (5MB)

Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	Supplier selection, VIKOR, MOORA, sensitivity analysis, MCDM, fuzzy logic.
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD2321-4730.9 Industry
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	18 Feb 2025 06:18
Last Modified:	18 Feb 2025 06:18
URII:	http://shdl.mmu.edu.my/id/eprint/13492

Downloads

Edit (login required)