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

  • Devika KannanEmail author
  • Ali Diabat
  • K. Madan Shankar


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.


EOL tire management ISM Drivers 


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  1. 1.
  2. 2.
  3. 3.
    Maderuelo-Sanz R, Nadal-Gisbert AV, Crespo-Amorós JE, Parres-García F (2012) A novel sound absorber with recycled fibers coming from end of life tires (ELTs). Appl Acoust 73(4):402–408CrossRefGoogle Scholar
  4. 4.
    WBSCD (2010) End-of-life tires: a framework for effective management systems prepared by the WBCSD Tire Industry Project. Accessed on 15 Apr 2013.
  5. 5.
    Ferrão P, Ribeiro P, Silva P (2008) A management system for end-of-life tyres: a Portuguese case study. Waste Manag 28(3):604–614CrossRefGoogle Scholar
  6. 6.
    Gomes, A. M. End-of-life Tyres Management. In Ideas (Vol. 1, No. 2, p. 3).[Accessed on 5.2.2013]
  7. 7.
    Connor, K. (2013). Developing a sustainable waste tire management strategy for Thailand. Accessed on 12 Feb 2013.
  8. 8.
    Abdul-Kader W, Haque MS (2011) Sustainable tyre remanufacturing: an agent-based simulation modelling approach. Int J Sustain Eng 4(4):330–347CrossRefGoogle Scholar
  9. 9.
    Ferrer G (1997) The economics of tire remanufacturing. Resour Conserv Recycl 19(4):221–255CrossRefGoogle Scholar
  10. 10.
    Adhikari B, De D, Maiti S (2000) Reclamation and recycling of waste rubber. Prog Polym Sci 25:909–948CrossRefGoogle Scholar
  11. 11.
    Fang Y., Maosensheng Z., Wang Y., (2001). The status of recycling of waste rubber, Materials and Design, Elsevier; 123–127CrossRefGoogle Scholar
  12. 12.
    Sunthonpagasit N, Duffey MR (2004) Scrap tires to crumb rubber: feasibility analysis for processing facilities. Resour Conserv Recycl 40:281–299CrossRefGoogle Scholar
  13. 13.
    Hyun J., Sung C., Yong S., Woo K., (2007). Status of recycling end-of-life vehicles and efforts to reduce automobile shredder residues in Korea, J. Materials Cycles Waste Management; 159–166Google Scholar
  14. 14.
    Crespo, J., Juliá, E., Parres, F., Segura, J., Gadea, J., &Nadal, A. (2010). Investigation of damping properties using products coming from ELT (end-of-life-tires).ANNALS of the Oradea University. Fascicle of Management and Technological Engineering, Volume IX (XIX), 2010, NR3.Google Scholar
  15. 15.
  16. 16.
    Li X, Xu H, Gao Y, Tao Y (2010) Comparison of end-of-life tire treatment technologies: a Chinese case study. Waste Manag 30(11):2235–2246CrossRefGoogle Scholar
  17. 17.
    Uruburu Á, Ponce-Cueto E, Cobo-Benita JR, Ordieres-Meré J (2013) The new challenges of end-of-life tyres management systems: a Spanish case study. Waste Manag 33(3):679–688CrossRefGoogle Scholar
  18. 18.
    Al-Salem SM, Lettieri P, Baeyens J (2009) Kinetics and product distribution of end of life tyres (ELTs) pyrolysis: a novel approach in polyisoprene and SBR thermal cracking. J Hazard Mater 172(2):1690–1694CrossRefGoogle Scholar
  19. 19.
    Corti A, Lombardi L (2004) End life tyres: alternative final disposal processes compared by LCA. Energy 29(12):2089–2108CrossRefGoogle Scholar
  20. 20.
    Jang JW, Yoo TS, Oh JH, Iwasaki I (1998) Discarded tire recycling practices in the United States, Japan and Korea. Resour Conserv Recycl 22(1):1–14CrossRefGoogle Scholar
  21. 21.
    Brief, P. P., Choi, M., Hudak, K., &Penabad, D. (2007). Scrap tire management. Accessed on 25 May 2013.
  22. 22.
    Amari T, Themelis NJ, Wernick IK (1999) Resource recovery from used rubber tires. Resour Policy 25(3):179–188CrossRefGoogle Scholar
  23. 23.
    Beukering PJ, Janssen MA (2001) Trade and recycling of used tyres in Western and Eastern Europe. Resour Conserv Recycl 33(4):235–265CrossRefGoogle Scholar
  24. 24.
    Vinodh S, Jayakrishna K (2013) Application of hybrid MCDM approach for selecting the best tyre recycling process. In: Paulo Davim J (ed) Green manufacturing processes and systems. Springer, Berlin, pp 103–123CrossRefGoogle Scholar
  25. 25.
    Kop Y, Genevois ME, Ulukan HZ (2012) End-of-life tyres recovery method selection in Turkey by using fuzzy extended AHP. In: Greco S, Bouchon-Meunier B, Colleti G, Fedrizzi M, Matarazzo B, Yager Ronald R (eds) Advances in computational intelligence. Springer, Berlin, pp 413–422CrossRefGoogle Scholar
  26. 26.
    Sienkiewicz M, Kucinska-Lipka J, Janik H, Balas A (2012) Progress in used tyres management in the European Union: a review. Waste Manag 32(10):1742–1751CrossRefGoogle Scholar
  27. 27.
    de Souza CDR, D’Agosto MDA (2013) Value chain analysis applied to the scrap tire reverse logistics chain: an applied study of co-processing in the cement industry. Resour Conserv Recycl 78:15–25CrossRefGoogle Scholar
  28. 28.
    Milanez B, Bührs T (2009) Extended producer responsibility in Brazil: the case of tyre waste. J Clean Prod 17(6):608–615CrossRefGoogle Scholar
  29. 29.
    Feraldi R, Cashman S, Huff M, Raahauge L (2013) Comparative LCA of treatment options for US scrap tires: material recycling and tire-derived fuel combustion. Int J Life Cycle Assess 18(3):613–625CrossRefGoogle Scholar
  30. 30.
    Freire F, Ferrão P, Reis C, Thore S (2000) Life cycle activity analysis applied to the Portuguese used tire market. SAE Trans 109(6):1980–1988Google Scholar
  31. 31.
    Leff A, McNamara C, Leff L (2007) Bacterial communities of leachate from tire monofill disposal sites. Sci Total Environ 387:310–319CrossRefGoogle Scholar
  32. 32.
    Oikonomou N, Mavridou S (2009) The use of waste tyre rubber in civil engineering works. Sustainability of construction materials. Wood Head Publishing Limited, Abington HallGoogle Scholar
  33. 33.
    Shalaby A, Khan R (2005) Design on unsurfaced roads constructed with large-size shredded rubber tires: a case study. Resour Conserv Recycl 44:318–332CrossRefGoogle Scholar
  34. 34.
    Sasikumar P, Kannan G, Haq AN (2010) A multi-echelon reverse logistics network design for product recovery—a case of truck tire remanufacturing. Int J Adv Manuf Technol 49(9–12):1223–1234CrossRefGoogle Scholar
  35. 35.
    ETRMA (2012) End-of-life tyres—a valuable resource with growing potential—2011 Edition. European Tyre and Rubber Manufacturers Association, BrusselsGoogle Scholar
  36. 36.
    WBCSD (2008) Managing end-of-life tires—full report. World Business Council for Sustainable DevelopmentGoogle Scholar
  37. 37.
    Harary F, Norman R, Cartwright Z (1965) Structural models: an introduction to the theory of directed graphs. Wiley, New YorkzbMATHGoogle Scholar
  38. 38.
    Warfield JW (1974) Developing interconnected matrices in structural modeling. IEEE Trans Syst Man Cybernet 4(1):51–81MathSciNetGoogle Scholar
  39. 39.
    Sage AP (1977) Interpretive structural modeling: methodology for large-scale systems. McGraw-Hill, New York, pp 91–164Google Scholar
  40. 40.
    Mandal A, Deshmukh SG (1994) Vendor selection using interpretive structural modeling. Int J Oper Prod Manag 14(6):52–60CrossRefGoogle Scholar
  41. 41.
    Kannan G, NoorulHaq A, Sasikumar P, Arunachalam S (2008) Analysis and selection of green suppliers using interpretative structural modeling and analytic hierarchy process. Int J Manag Decis Mak 9(2):163–182Google Scholar
  42. 42.
    Chidambaranathan S, Muralidharan C, Deshmukh SG (2009) Analyzing the interaction of critical factors of supplier development using Interpretive Structural Modeling—an empirical study. Int J Adv Manuf Technol 43(11–12):1081–1093CrossRefGoogle Scholar
  43. 43.
    Hart WL, Malone DW (1974) Goal setting for a state environmental agency. In: IEEE conference on decision and control; 1974Google Scholar
  44. 44.
    Hawthorne RW, Sage AP (1975) Applications of interpretive structural modeling to higher education program planning. Socio Econ Plan Sci 9(3):143Google Scholar
  45. 45.
    Brand Jr DH, Irwin DM, Kawamura K (1976) Implementation of interpretive structural modeling in a state-level planning context. In: Seventh Annual Pittsburgh Conference on Modeling and Simulation; 1976Google Scholar
  46. 46.
    Kawamura K, Christakis AN (1976) The role of structural modeling in technology assessment. In: Second international congress on technology assessment; 1976Google Scholar
  47. 47.
    Kannan G, Devika K, Mathiyazhagan K, Jabbour ABLDS, Jabbour CJC (2013) Analysing green supply chain management practices in Brazil’s electrical/electronics industry using interpretive structural modelling. Int J Environ Stud 70(4):477–493CrossRefGoogle Scholar
  48. 48.
    Mathiyazhagan K, Kannan G, NoorulHaq A, Yong G (2013) An ISM approach for the analysis of barriers in implementing green supply chain management. J Clean Prod 47:283–297CrossRefGoogle Scholar
  49. 49.
    Kannan G, Pokharel S, Sasikumar P (2009) A hybrid approach using ISM and Fuzzy TOPSIS for the selection of reverse logistics provider. Resour Conserv Recycl 54:28–36CrossRefGoogle Scholar
  50. 50.
    Govindan K Mathiyazhagan, K Devika, NoorulHaq A (2013) Barriers analysis for Green Supply Chain Management implementation in Indian industries using analytic hierarchy process. Int J Prod Econ 10.1016/j.ijpe.2013.08.018
  51. 51.
    Kannan G, Sarkis J, Murugesan P (2013) An ANP based multi criteria decision making model for third-party reverse logistics provider selection in a reverse supply chain. Int J Adv Manuf Technol 68(1–4):863–880Google Scholar
  52. 52.
    Diabat A, Govindan K (2011) An analysis of the drivers affecting the implementation of green supply chain management. Resour Conserv Recycl 55(6):659–667CrossRefGoogle Scholar
  53. 53.
    Duperrin JC, Godet M (1973) Methode De HierarChization Des Elements D’um System, Rapport Economique De CEA, R-45-51, ParisGoogle Scholar
  54. 54.
    Warfield JW (1990) A science of generic design. Managing complexity through systems design, vol, 1st edn. Inter systems, SalinasGoogle Scholar
  55. 55.
    Siddique R, Naik TR (2004) Properties of concrete containing scrap-tire rubber: an overview. Waste Manag 24:563–569CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London 2014

Authors and Affiliations

  1. 1.Department of Mechanical and Manufacturing EngineeringAalborg UniversityCopenhagenDenmark
  2. 2.Department of Engineering Systems and ManagementMasdar Institute of Science and TechnologyAbu DhabiUnited Arab Emirates
  3. 3.Department of Mechanical EngineeringPTR College of Engineering & TechnologyMaduraiIndia

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