Application of the TOPSIS Method for Electronic Supplier Selection Based on Multi-Criteria
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Electronics,
TOPSIS,
Criteria,
Quality
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Abstract
This study aims to determine the most optimal electronic component supplier using a quantitative performance-based approach. The method used is TOPSIS with four main criteria, namely price, quality (defect rate), delivery accuracy, and environmental sustainability. Analysis of five suppliers produces the following closeness coefficient values: S5 of 0.7777, S3 of 0.6712, S1 of 0.5524, S2 of 0.4310, and S4 of 0.3895. These results place S5 as the best alternative, followed by S3 and S1. The impact of this study is to increase the objectivity and accuracy of the supplier selection process and minimize the risk of biased decisions. Based on these findings, the study recommends a dual sourcing strategy with an allocation of 60% of supplies to S5 and 30% to S3, while S1 can be developed as a medium-term option through quality improvement and defect rate reduction programs.
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References
Gunawan, R. D. (2024). Penerapan Sistem Pendukung Keputusan dalam Pemilihan Supplier dengan Metode TOPSIS. Journal of Information Technology, Software Engineering and Computer Science (ITSECS), 2(3), 150-159. https://doi.org/10.58602/itsecs.v2i3.157
Lukmandono, L., Basuki, M., Hidayat, M. J., & Setyawan, V. (2019). Pemilihan Supplier Industri Manufaktur dengan Pendekatan AHP dan TOPSIS. OPSI, 12(2), 83-93. https://doi.org/10.31315/opsi.v12i2.3146
Masudin, I., Habibah, I. Z., Wardana, R. W., Restuputri, D. P., & Shariff, S. S. R. (2024). Enhancing Supplier Selection for Sustainable Raw Materials: A Comprehensive Analysis Using Analytical Network Process (ANP) and TOPSIS Methods. Logistics, 8(3), 74. https://doi.org/10.3390/logistics8030074 MDPI+1
Menon, R. R., & Ravi, V. (2022). Using AHP–TOPSIS methodologies in the selection of sustainable suppliers in an electronics supply chain. Cleaner Materials, 5, 100130. https://doi.org/10.1016/j.clema.2022.100130 ScienceDirect+1
Qu, G., Zhang, Z., Qu, W., & Xu, Z. (2020). Green supplier selection based on green practices evaluated using fuzzy approaches of TOPSIS and ELECTRE with a case study in a Chinese internet company. International Journal of Environmental Research and Public Health, 17(9), 3268. https://doi.org/10.3390/ijerph17093268
Sureeyatanapas, P., Poophiukhok, P., & Pathumnakul, S. (2020). Resilient supplier selection in electronic components procurement: An integration of evidence theory and rule-based transformation into TOPSIS to tackle uncertain and incomplete information. Symmetry, 12(7), 1109. https://doi.org/10.3390/sym12071109
Syahputra, A., Diana, A., & Achadiani, D., (2024). Penerapan Metode Analytical Hierarchy Process dan Simple Additive Weighting untuk Pemilihan Supplier Toko Beras. IDEALIS: InDonEsiA journaL Information System, 7(2), 198-204. https://doi.org/10.36080/idealis.v7i2.3169
Tian, Z. P., Zhang, H. Y., Wang, J. Q., & Wang, T. L. (2018). Green supplier selection using improved TOPSIS and best-worst method under intuitionistic fuzzy environment. Informatica, 29(4), 773-800. https://doi.org/10.15388/Informatica.2018.186