Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8100833 | Journal of Cleaner Production | 2016 | 40 Pages |
Abstract
This study presents an empirical assessment and guides about measuring impact of GM (green manufacturing) practices on organisational performance in Indian context. The research approach is to extract critical GM factors from field data, to evaluate those factors which have positive impact on the organisational performance and to develop a model linking both critical factors and performance measures. The research follows survey method for data collection. A diagnostic research survey instrument is designed and used for data collection from the Indian manufacturing companies that have implemented/experienced GM. Authors not only developed model but also attempted its optimisation, checked its robustness through sensitivity analysis and worked out its ability to predict patterns and possible trends through artificial neural network (ANN) simulation. Further, this model is validated through a case company data to work out its intensity and efficacy as a demonstrative application in reducing environmental footprints. The major contribution of this study is in the identification, prioritisation of guiding factors, its modelling, and validation, which influence various manufacturing practices, and drastically affect organisational performance. The study offers useful insights and guides about how industries should link both aspects critical GM factors and performance measures to channelize their GM initiatives, in order to improve environmental, operational and financial performance.
Keywords
Related Topics
Physical Sciences and Engineering
Energy
Renewable Energy, Sustainability and the Environment
Authors
Minhaj Ahemad Rehman, Dinesh Seth, R.L. Shrivastava,