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Analyzing the drivers of end-of-life tire management using interpretive structural modeling (ISM)

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Abstract

Due to industrialization and globalization, automotive sectors in both professional and societal applications have increased manufacturing and have resulted in higher production of virgin tires. These hikes in virgin tire production subsequently results in more end-of-life (EOL) tires, as well as lower quality, shorter tire lifespan, and a restricted availability of new model tires. Many developed nations have started to address EOL tire management issues through various strategies and codes of conduct, but because the environment is a global concern shared both by developed and developing nations, this study examines the issue of EOL tire management in India, a highly populated developing country. This paper proposes a framework to analyze the motivating factors of EOL tire management; it is validated in the Indian scenario with the assistance of a multi-criteria decision-making (MCDM) approach. Existing literatures are limited to the study of recycling and remanufacturing techniques. This study also provides the interrelationship between drivers and their respective influence with sound managerial implications. Finally, the paper concludes with the most influential driver of EOL tire management among all common drivers. We examine its limitations, and we shed light on the prospects of greater sustainability in EOL tire management in the future.

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Author information

Authors and Affiliations

  1. Department of Mechanical and Manufacturing Engineering, Aalborg University, DK-2450, Copenhagen, Denmark

    Devika Kannan

  2. Department of Engineering Systems and Management, Masdar Institute of Science and Technology, Abu Dhabi, United Arab Emirates

    Ali Diabat

  3. Department of Mechanical Engineering, PTR College of Engineering & Technology, Madurai, Tamilnadu, India

    K. Madan Shankar

Authors
  1. Devika Kannan
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  2. Ali Diabat
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  3. K. Madan Shankar
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Correspondence to Devika Kannan.

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Kannan, D., Diabat, A. & Shankar, K.M. Analyzing the drivers of end-of-life tire management using interpretive structural modeling (ISM). Int J Adv Manuf Technol 72, 1603–1614 (2014). https://doi.org/10.1007/s00170-014-5754-2

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  • DOI: https://doi.org/10.1007/s00170-014-5754-2

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