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Enablers of Sustainable Manufacturing Overview, Framework and Further Research Directions

Enablers of Sustainable Manufacturing Overview, Framework and Further Research Directions

Shibin K. T.
Copyright: © 2016 |Pages: 22
ISBN13: 9781522503507|ISBN10: 1522503501|EISBN13: 9781522503514
DOI: 10.4018/978-1-5225-0350-7.ch003
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MLA

Shibin K. T. "Enablers of Sustainable Manufacturing Overview, Framework and Further Research Directions." Strategic Management of Sustainable Manufacturing Operations, edited by Rameshwar Dubey and Angappa Gunasekaran, IGI Global, 2016, pp. 52-73. https://doi.org/10.4018/978-1-5225-0350-7.ch003

APA

Shibin K. T. (2016). Enablers of Sustainable Manufacturing Overview, Framework and Further Research Directions. In R. Dubey & A. Gunasekaran (Eds.), Strategic Management of Sustainable Manufacturing Operations (pp. 52-73). IGI Global. https://doi.org/10.4018/978-1-5225-0350-7.ch003

Chicago

Shibin K. T. "Enablers of Sustainable Manufacturing Overview, Framework and Further Research Directions." In Strategic Management of Sustainable Manufacturing Operations, edited by Rameshwar Dubey and Angappa Gunasekaran, 52-73. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-5225-0350-7.ch003

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Abstract

The aim of this paper is to develop a conceptual sustainable manufacturing (SM) framework, which is the pressing need of highly competitive and natural resource scarce world. Systematic literature review has been adopted to identify enablers of SM. The enablers identified through systematic literature review includes product design, material selection & procurement, customer requirements, regulatory norms, social values & ethics, environmental priorities, energy costs, natural resource scarcity, supply chain & logistics systems, fuel price regulations, public awareness, technology and total quality management. Author has attempted to develop a contextual relationship among enablers of SM using interpretive structural modeling. The author has further classified enablers into four categories using MICMAC analysis. The author has also outlined the limitations of present study and identified further research directions.

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