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Evaluating green manufacturing drivers: an interpretive structural modelling approach

Author

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  • Minhaj Ahemad A. Rehman
  • R.R. Shrivastava
  • Rakesh L. Shrivastava

Abstract

Green manufacturing (GM) is a sustainable method of manufacturing that minimises waste and pollution. GM covers the entire product life cycle from conceptual design to disposal in a benign, harmless manner. It causes no or minimal adverse impact on environment by optimum use of resources and reduction of waste and pollution. 4R's (reduce, reuse, recycle, remanufacture) is slowly being accepted and adopted as the model of growth and sustainability the world over. Its implementation is supported by few factors which are known as GM drivers. There are many drivers which are expanding the boundaries for green manufacturing. These drivers could facilitate to adopt Green manufacturing. The aim of this paper is to develop a relationship amongst the identified GM drivers; including management commitments, regulatory pressure, pressure from stakeholders etc. This paper is also helpful in understanding mutual influences of drivers. It helps in identifying those drivers which support other drivers as well as those drivers which are most influenced by other drivers (dependent) using interpretive structural modelling (ISM) and it classifies these drivers depending upon their driving and dependency on power.

Suggested Citation

  • Minhaj Ahemad A. Rehman & R.R. Shrivastava & Rakesh L. Shrivastava, 2014. "Evaluating green manufacturing drivers: an interpretive structural modelling approach," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 13(4), pages 471-494.
    • Handle: RePEc:ids:ijpqma:v:13:y:2014:i:4:p:471-494
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    Cited by:

    1. Hariyani, Dharmendra & Mishra, Sanjeev & Hariyani, Poonam & Sharma, Milind Kumar, 2023. "Drivers and motives for sustainable manufacturing system," Innovation and Green Development, Elsevier, vol. 2(1).
    2. Gustavo Cattelan Nobre & Elaine Tavares, 2017. "Scientific literature analysis on big data and internet of things applications on circular economy: a bibliometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 463-492, April.

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