A TOPSIS Framework for Supplier Selection Problem

Ika Menarianti, I'tishom Al Khoiry, Chadyan Fathurachman

Abstract


The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) stands as a widely recognized and extensively utilized method for addressing the complexities of supplier selection across diverse industries. Acknowledged for its systematic framework, TOPSIS serves as a valuable aid for decision-makers in meticulously evaluating and ranking potential suppliers, taking into account a variety of criteria. This paper provides a exploration of the TOPSIS framework in the field of supplier selection, aiming to empower decision-makers with insights to effectively utilize TOPSIS as a strategic tool. The objective is to facilitate informed and optimal supplier selections. The findings can contribute to both theoretical understanding and practical guidance, emphasizing the strategic significance of TOPSIS in decision-making.

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References


M. Marzouk and M. Sabbah, “AHP-TOPSIS social sustainability approach for selecting supplier in construction supply chain,†Clean. Environ. Syst., vol. 2, p. 100034, 2021.

I. Al Khoiry, R. Gernowo, and B. Surarso, “Fuzzy-AHP MOORA approach for vendor selection applications,†Regist. J. Ilm. Teknol. Sist. Inf., vol. 8, no. 1, pp. 24–37, 2022.

M. E. B. de Oliveira, F. R. Lima-Junior, and N. R. Galo, “A comparison of hesitant fuzzy VIKOR methods for supplier selection,†Appl. Soft Comput., vol. 149, p. 110920, 2023.

M. R. Asadabadi, H. B. Ahmadi, H. Gupta, and J. J. H. Liou, “Supplier selection to support environmental sustainability: the stratified BWM TOPSIS method,†Ann. Oper. Res., vol. 322, no. 1, pp. 321–344, 2023.

C.-L. Hwang, K. Yoon, C.-L. Hwang, and K. Yoon, “Methods for multiple attribute decision making,†Mult. Attrib. Decis. Mak. methods Appl. a state-of-the-art Surv., pp. 58–191, 1981.

R. Kamalakannan, C. Ramesh, M. Shunmugasundaram, P. Sivakumar, and A. Mohamed, “Evaluvation and selection of suppliers using TOPSIS,†Mater. Today Proc., vol. 33, pp. 2771–2773, 2020.

R. R. Menon and V. Ravi, “Using AHP-TOPSIS methodologies in the selection of sustainable suppliers in an electronics supply chain,†Clean. Mater., vol. 5, p. 100130, 2022.

R. M. Zulqarnain, H. Garg, W.-X. Ma, and I. Siddique, “Optimal cloud service provider selection: An MADM framework on correlation-based TOPSIS with interval-valued q-rung orthopair fuzzy soft set,†Eng. Appl. Artif. Intell., vol. 129, p. 107578, 2024.

X. Wang, Z. Liu, H. Kong, and G. Peng, “Research on the evaluation of green suppliers of high energy-consuming enterprises--based on rough number-grey correlation TOPSIS method,†Heliyon, vol. 10, no. 1, 2024.

A. K. Yadav, K. Singh, P. K. Srivastava, and P. S. Pandey, “I-MEREC-T: Improved MEREC-TOPSIS scheme for optimal network selection in 5G heterogeneous network for IoT,†Internet of Things, vol. 22, p. 100748, 2023.

A. Gaeta, V. Loia, and F. Orciuoli, “An explainable prediction method based on Fuzzy Rough Sets, TOPSIS and hexagons of opposition: Applications to the analysis of Information Disorder,†Inf. Sci. (Ny)., vol. 659, p. 120050, 2024.

İ. Önden et al., “Supplier Selection of Companies Providing Micro Mobility Service Under Type-2 Neutrosophic Number Based Decision Making Model,†Expert Syst. Appl., p. 123033, 2023.




DOI: https://doi.org/10.35314/isi.v9i1.3904

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