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Development of decision support system for sustainability evaluation: a case study

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Abstract

The industries have created threat to the present environment through their manufacturing methods. Moreover, the excessive utilization of natural resources have led to scarcity and triggered danger for the future generations. So there exists a vital need for the modern companies to renovate their manufacturing technologies. Thus, a new concept of manufacturing process known as sustainable manufacturing has been introduced and it gained great importance in the present scenario. Sustainable manufacturing means the production of goods in such a way that it utilizes minimum natural resources and produces safer, cleaner, and environment-friendly products at an affordable cost. The purpose of this article is to assess the sustainability level of a manufacturing organization taking into consideration various factors needed for insuring sustainability. During the course of this research, a sustainability model was developed using fuzzy logic and the sustainability index was calculated. Manual calculation of sustainability index consumes more time and it is mistake prone. So, in order to avoid such inadequacies, a computer-based decision support system was developed designated as fuzzy-logic-based sustainability evaluation decision support system. The system calculates the fuzzy logic sustainability index, Euclidean distance, and fuzzy performance importance index. This model will help the companies to analyze various aspects of sustainability within their organization and work toward further improvement of it.

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Authors and Affiliations

  1. Department of Production Engineering, National Institute of Technology, Tiruchirappalli, 620 015, Tamil Nadu, India

    S. Vinodh, K. Jayakrishna, Vishwajeet Kumar & Ranajyoti Dutta

Authors
  1. S. Vinodh
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  2. K. Jayakrishna
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  3. Vishwajeet Kumar
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  4. Ranajyoti Dutta
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Correspondence to S. Vinodh.

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Vinodh, S., Jayakrishna, K., Kumar, V. et al. Development of decision support system for sustainability evaluation: a case study. Clean Techn Environ Policy 16, 163–174 (2014). https://doi.org/10.1007/s10098-013-0613-7

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  • DOI: https://doi.org/10.1007/s10098-013-0613-7

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