PERFORMANCE EVALUATION AND PREDICTION OF MANUFACTURING ORGANIZAIONS UNDER SUSTAINABLE PERSPECTIVE

Abstract

The importance of this work exists in its ability to provide a data-driven and objective approach to rank sustainable manufacturing organizations through a comprehensive and holistic evaluation, considering various sustainability indicators.The study involves three stages namely: (1) Generation of alternatives using Box-Behnken design type, (2) Performance determination of alternatives through integrated DEA-GRA (3) Predicting the performance of the Alternatives through regression, Neural network and Deep Learning Neural network analysis. The adoption of the proposed comprehensive approach not only enhances the credibility and reliability of the rankings but also serves as a benchmark for other industries aiming to assess sustainability performance.