Supplier Selection Process Based on CODAS Method Using q-Rung Orthopair Fuzzy Information

Ramírez-Ochoa, Dynhora-Danheyda; Pérez-Domínguez, Luis; Martínez-Gómez, Erwin Adán; Argüelles, Vianey Torres; Garg, Harish; Sansabas-Villapando, Veronica

doi:10.1007/978-981-19-1449-2_9

Cited by 2 publications

(1 citation statement)

References 38 publications

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“…Introduced by (Keshavarz Ghorabaee et al, 2016), the combinative distance-based assessment (CODAS) method evaluates the decision's alternatives through defining a space bounded between two norms, CODAS uses the Euclidean and Taxicab distances. The CODAS application for the selection of the best supplier could be found (Ramírez-Ochoa et al, 2022;Pamucar et al, 2022;Wei et al, 2021aWei et al, , 2021bBolturk, 2018;Badi et al, 2018). Along with TOPSIS, VIKOR (Gao et al, 2020), andCOPRAS (Chatterjee &Kar, 2018;Chatterjee et al, 2011) are the most popular distance-based methods for solving supplier selection problems.…”

Section: Mcdm and Supplier Evaluationmentioning

confidence: 99%

Introducing Alternatives Ranking With Elected Nominee (Arwen) Method: A Case Study of Supplier Selection

Zakeri,

Chatterjee,

Konstantas

et al. 2023

Technological and Economic Development of Economy

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Supply chain management (SCM) has gradually evolved beyond the straightforward logic of benefits and economic viewpoints. Supplier selection and performance evaluation are the crucial strategic components of any SCM system with a substantial economic impact and risk reduction. Several conflicting factors make supplier selection a challenging multi-criteria decision-making problem. This paper introduces a method called alternative ranking with the elected nominee (ARWEN) to select suppliers in Iran’s dairy product chain store. The primary principle of ARWEN is to choose the best alternative based on the lowest change rate rather than the elected nominee. Four extensions of the ARWEN method are proposed depending upon the nature and level of information available to the decision-makers. A fifth extended version termed E-ARWEN is also recommended to consider the negative form of the elected nominee. Two novel statistical tools, the ranking performance index and the Zakeri-Konstantas distance product correlation coefficient, are also put forth to validate the ARWEN extensions’ outcomes. The results and verification of this new method are carried out through two supplier selection case examples. Comprehensive comparisons were carried out to explore the new methods’ behaviors, indicating ARWEN III and E-ARWEN have similar behavior to VIKOR, SAW, and EDAS in generating rankings.

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