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Rescue of the Material Recycler: A Case Study on the ‘End-of-Life Tyres’

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  • Anurup Arora
  • Saroj Koul
  • Uma Kumar

Abstract

Tinna Rubber and Infrastructure Limited (TRIL) is India’s largest integrated material recycler of end-of-life tyres (ELT). It imported 70% scrap to feedstock in its manufacturing plants. The nationwide lockdown declared on 24 March 2020 posed severe initial restrictions on the movement of non-essential cargo. It affected TRIL’s 265 containers lodged at different ports in the country, thus escalating their demurrage/detention charges and storage costs. This case concerns supply chain problems faced by Shanti Swarup, TRIL Head–Procurement, owing to COVID-19 disruption. The situation was severe enough to wipe out TRIL’s annual cash profit and put its factories at risk of running out of feedstock. Scrap importers, like TRIL, were in a deadlock with shipping lines and freight stations to waive any imposed charges or avail of any monetary relief despite regular guidelines issued by the Indian government. However, Swarup’s existing and effective ‘supply chain resilience’ strategies had already made TRIL win half the battle by adopting a different approach to the deadlock problem, which relieved the situation. The case study also highlights typical risks and challenges faced by the Indian ELT recycling industry.

Suggested Citation

  • Anurup Arora & Saroj Koul & Uma Kumar, 2024. "Rescue of the Material Recycler: A Case Study on the ‘End-of-Life Tyres’," FIIB Business Review, , vol. 13(4), pages 404-413, August.
  • Handle: RePEc:sae:fbbsrw:v:13:y:2024:i:4:p:404-413
    DOI: 10.1177/23197145231214433
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    References listed on IDEAS

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    1. Siva Kumar & Ramesh Anbanandam, 2020. "Impact of risk management culture on supply chain resilience: An empirical study from Indian manufacturing industry," Journal of Risk and Reliability, , vol. 234(2), pages 246-259, April.
    2. Azizah F. Siddiqui & Manuel Wiederkehr & Liudmila Rozanova & Antoine Flahault, 2020. "Situation of India in the COVID-19 Pandemic: India’s Initial Pandemic Experience," IJERPH, MDPI, vol. 17(23), pages 1-18, December.
    3. Sarkar, Kankan & Khajanchi, Subhas & Nieto, Juan J., 2020. "Modeling and forecasting the COVID-19 pandemic in India," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
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