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Engineers and manufacturers have encountered a pool of materials depending upon their physical and non-physical properties. Each and every material has its own positiveness and negativeness. Therefore, diminishing adverse environmental effects from material uses is a big challenge in the backdrop of material selection procedure. The aim of this paper is to identify the optimum energy-efficient material from a given set of alternatives in the light of futuristic growth and environmental constraint based on the performance of the decision-making algorithm. The proposed work presents an application of multi-criteria decision-making (MCDM) analysis Entropy-Technique for order of preference by similarity to ideal solution (TOPSIS) to evaluate the appropriate optimum energy-efficient material on the basis of tangible criteria. Firstly, Entropy method is used to figure out precise weight for the criterion from the vagueness of available data associated in this study. Thereafter, TOPSIS method is utilized to select and rank the alternative materials according to their importance merit. Sensitivity analysis is carried out to show the robustness of the selection methodology. Study also reveals that, this is among the few analyses in the energy-efficient material selection which considers environmental threats.