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The environmental issues have been a serious talk lately from the manufacturing industry’s point of view. The purpose of this study is to analyse the factors that influence the eco-efficiency and the business performance of a company towards lean and green techniques. The enablers/criteria were identified as the factors influencing lean and green and were surveyed in manufacturing industries to evaluate their performance. Analytic hierarchy process was used to calculate the weights and prioritize the enablers. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) prioritizes the enablers based on lean, green, sustainable factors and is improved based upon the ranks. The driving and the dependency power of the enablers were determined using interpretive structural modelling (ISM). The supply chain operations reference (SCOR) method categorizes the enablers under major factors like plan, source, make, delivery, return and attributes such as reliability, responsiveness, agility, cost and assets management. The overall business performance value of an industry is determined using SNORM De Boer Normalization Process Method (SNORM) values and the weights obtained from analytic hierarchy process (AHP). This study indicates that industries are shifting gradually towards lean and green techniques. The decision-makers can understand the areas to concentrate, concerning lean and green, according to the performance value of the criteria and choose the appropriate performance model. |
