Comparative Analysis of Supplier Selection Based on ARAS, COPRAS, and MOORA Methods Integrated with Fuzzy AHP in Supply Chain Management

George, Josy; Badoniya, Pushkal; Xavier, J. Francis

doi:10.1007/978-981-16-7059-6_13

Cited by 4 publications

(1 citation statement)

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“…Several MCDM techniques have been employed to address this issue. For instance, the additive ratio assessment (ARAS), COPRAS, and MOORA methods, integrated with fuzzy AHP, have been used for supplier selection [ 33 ]. The MOORA and COPRAS techniques have been applied to select sustainable suppliers [ 34 ] and evaluate and rank green vendors [ 35 ].…”

Section: Literature Reviewmentioning

confidence: 99%

An integrated model for rice supplier selection strategies and a comparative analysis of fuzzy multicriteria decision-making approaches based on the fuzzy entropy weight method for evaluating rice suppliers

Magableh

2024

PLoS ONE

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Rice, being a staple food in many countries, necessitates the identification of reliable suppliers to ensure a steady supply. Consequently, it is vital to establish trustworthy vendors for various types of this essential grain who can meet stringent product quality standards. This study aims to identify, analyze, rank, and select primary rice suppliers. The study emphasizes the importance of selecting and managing suitable providers to meet customer demands, proposes a ranking model for rice suppliers, and introduces developed fuzzy MCDM techniques. It proposes an integrated model for selecting rice suppliers, considering factors related to the processes before, during, and after selecting providers within a defined framework. The outcomes shows that rice supplier selection strategy can efficiently identify reliable rice suppliers, improve buyer value, reduce procurement risk, enhance efficiency, and establish strong supply chain relationships in complex decision-making processes. To assess suppliers, the study introduces two advanced integrated approaches and compares them. The fuzzy entropy weight method (EWM) was used to determine the criteria weights. The ranking of rice suppliers was achieved using a fuzzy multi-objective optimization based on ratio analysis (MOORA), fuzzy complex proportional assessment (COPRAS), and combinations of these two methods in different approaches. The methodology supports decision-makers in a rapidly evolving global environment by assisting importers, traders, suppliers, procurement, and logistics management, particularly for non-rice-cultivating countries in rice importation and supplier selection. The numerical analysis is grounded in a real-world case study of selecting rice suppliers in Jordan. The findings reveal that the various strategies yield both similar and different results. Furthermore, the integrated method is considered the most accurate for evaluating rice imports and suppliers, aligning closely with the reality of the current situation.

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Section: Literature Reviewmentioning

confidence: 99%