Abstract
Multi-criteria decision-making (MCDM) techniques are being adopted in the supplier selection in the automotive industry. Due to their flexibility to interact with the factors needed in determining the supplier selection. The concept of a balanced scorecard is proposed for rating the supplier while evaluating their performance. Due to limitations in each MCDM technique, it is difficult to find a potential supplier using specific methodologies. Therefore, this paper proposes the integration of Fuzzy TOPSIS, Fuzzy AHP, and Fuzzy VIKOR in determining the potential supplier for a bus body building unit in the Indian context. After finding the rankings using each MCDM technique, spearman rank correlation coefficient is used to test the reliability in the ranks generated by each technique. The output results of this study help the company in establishing a robust supplier selection framework to select the best supplier.
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Manupati, V.K., Rajya Lakshmi, G., Ramkumar, M., Varela, M.L.R. (2021). An Integrated Fuzzy MCDM Approach to Supplier Selection—Indian Automotive Industry Case. In: Patnaik, S., Tajeddini, K., Jain, V. (eds) Computational Management. Modeling and Optimization in Science and Technologies, vol 18. Springer, Cham. https://doi.org/10.1007/978-3-030-72929-5_22
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DOI: https://doi.org/10.1007/978-3-030-72929-5_22
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