The main objective of this research is to develop several multi-criteria decision-making (MCDM) models to assist in the supplier selection for the cement manufacturing industry. Supplier selection is a very complex task involving qualitative and quantitative data to determine the best suppliers. It is very important for a company’s ability to maintain efficient operations and competitive prices. Four different models of MCDM have been combined into an MCDM hybrid model using Grey Relation Analysis (GRA), TOPSIS, VIKOR, and PROMETHEE II techniques. A case study was performed on a cement manufacturing company in Bangladesh, and the above-mentioned hybrid MCDM model was applied to determine the top five indicators for performance evaluation of suppliers, which include price, quality system, organizational structure, service facility, and manufacturing capabilities. The result of this study was that all of the MCDM models selected supplier S1 as the number one supplier, but due to the sensitivity analysis, the results are stable and consistent. The results of this study indicate that the application of a multi-directed MCDM technique will give a greater degree of accuracy and reliability regarding supplier selection than applying single-directed method techniques. The research provides a framework that will be transparent in selecting suppliers according to their performance and will also identify the applicability of data-driven decision-making techniques in the course of improving the overall functioning of the supply chain. The research also provides a template that can be used across other manufacturing industries to assist companies in determining the best suppliers for their operations.