Int. J. of Manufacturing Research   »   2012 Vol.7, No.4

 

 

Title: Mathematical modelling of innovation-driven sustainable manufacturing: case study of industrial pollution control equipments used in steel manufacturing organisations

 

Authors: S. Singh; S.P. Lal

 

Addresses:
School of Mechanical Engineering, KIIT University, Bhubaneswar 751024, Orissa, India
B.I.T. Patna Campus, Near Patna Airport, Patna 800014, Bihar, India

 

Abstract: The world has witnessed enormous technological development during the last century, which has tremendously increased the environmental degradation. There is a strong need to confront these problems through systemic perspective analysis and modelling based on social, environmental and innovative capital of organisations characterising sustainability. Modelling, evaluating and measuring innovation-driven sustainable manufacturing is a crucial deed in the process of building more environmental-friendly societies. Thus, organisations should consider sustainable manufacturing as an innovation opportunity. In order to assess sustainability status of any manufacturing organisation, a handy and uncomplicated mathematical model based on industrial situation is necessary. In the present paper, an attempt has been made to formulate a simple innovation-driven sustainable manufacturing model, which is capable of performing a comprehensive assessment of relative sustainability status of various manufacturing organisations based on the case study of innovation-driven industrial pollution control equipments. Thus, a comprehensive mathematical model has been formulated and proposed for measuring and evaluating innovation-driven sustainable manufacturing. It is expected that the present work will be of immense interest to practicing engineers and researchers for investigating links between sustainable manufacturing and innovations in a more realistic manner. [Received 1 December 2010; Revised 31 March 2011; Accepted 20 April 2011]

 

Keywords: innovation; sustainable manufacturing; mathematical modelling; sustainability index; sustainable development; pollution control equipment; steel manufacturing; environmental pollution.

 

DOI: 10.1504/IJMR.2012.050105

 

Int. J. of Manufacturing Research, 2012 Vol.7, No.4, pp.426 - 438

 

Available online: 27 Oct 2012

 

 

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