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Evaluation of sustainability indicators of machine tools: a hybrid Fuzzy DEMATEL approach

Author

Listed:
  • Girish Kumar

    (Delhi Technological University)

  • Ajith Tom James

    (Operations &IT Department, ICFAI Business School)

  • Gourav Kumar

    (Delhi Technological University)

  • Romesh Rajput

    (Delhi Technological University)

  • Sunny Choudhary

    (Delhi Technological University)

Abstract

As the world is more focused on developing products and services, which are sustainable, special attention is needed in the design and manufacture of machine tools. There is a multitude of elements that contribute to the sustainability of machine tools. Moreover, the elements are interdependent with each other. The presence and absence of each element can be measured by different indicators. This paper analyzes the influence of elements and their indicators on the sustainability of machine tools. Sustainability elements and their indicators have been identified first. Further, a new hybrid model was developed to find the interdependencies between the sustainability elements for machine tools and determine the priorities of the indicators. Two structural models, i.e., Decision-Making Trial and Evaluation Laboratory and Analytic Network Process, have been combined to establish levels and intensities of interdependence as well as the relative weight of selected indicators. The results classify the indicators into the receiver, dispatcher, and neutral groups and also point out the indicators with feedback dependencies, i.e., indicators that depend on themselves. The methodology can be applied for evaluating as well as comparing the sustainability of different machines. The observations would be helpful to the designers of machine tools to make strategies for improving the sustainability of their machines.

Suggested Citation

  • Girish Kumar & Ajith Tom James & Gourav Kumar & Romesh Rajput & Sunny Choudhary, 2024. "Evaluation of sustainability indicators of machine tools: a hybrid Fuzzy DEMATEL approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 18593-18624, July.
    • Handle: RePEc:spr:endesu:v:26:y:2024:i:7:d:10.1007_s10668-023-03405-8
    DOI: 10.1007/s10668-023-03405-8
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    References listed on IDEAS

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    1. Hossam A. Kishawy & Hussien Hegab & Elsadig Saad, 2018. "Design for Sustainable Manufacturing: Approach, Implementation, and Assessment," Sustainability, MDPI, vol. 10(10), pages 1-15, October.
    2. Zhuming Bi, 2011. "Revisiting System Paradigms from the Viewpoint of Manufacturing Sustainability," Sustainability, MDPI, vol. 3(9), pages 1-18, August.
    3. Schudeleit, Timo & Züst, Simon & Weiss, Lukas & Wegener, Konrad, 2016. "The Total Energy Efficiency Index for machine tools," Energy, Elsevier, vol. 102(C), pages 682-693.
    4. Yeh, Tsu-Ming & Huang, Yu-Lang, 2014. "Factors in determining wind farm location: Integrating GQM, fuzzy DEMATEL, and ANP," Renewable Energy, Elsevier, vol. 66(C), pages 159-169.
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