Track: Supply Chain Management

Abstract

The rapid growth in the Indian construction industry has led to a need for efficient supply chain management and timely procurement of raw materials, particularly cement. Choosing suppliers is crucial to project completion, so a robust and reliable process is essential. The study proposed an application of the Triangular Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to address conflicts and uncertainties in supplier selection. In this study, Multi-Criteria Decision Making (MCDM) is employed to evaluate and rank potential cement suppliers on various criteria such as quality, delivery time, reliability, after-sales support, reputation, experience, etc. for Design Hub, Mumbai. The results consistently ranked ACC, Birla Corporation, and India Cement as top suppliers, even when reducing the set of criteria. Hence, this method for selecting suppliers under uncertain conditions was demonstrated as reliable and effective. Construction firms in India would be able to increase supply chain efficiency, reduce costs, and execute projects more efficiently with this approach by combining fuzzy logic with MCDM not only for cement but also for other construction material purchasing. Further exploration of fuzzy MCDM techniques was encouraged by these findings as this method of triangular fuzzy TOPSIS provided a robust and practical solution for choosing cement suppliers, ultimately resulting in improved project outcomes.