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Supply chain risk management and quality: a case study and analysis of Indian automotive industry

Author

Listed:
  • Aditya Gautam
  • Surya Prakash
  • Umang Soni

Abstract

The purpose of this paper is to study supply chain risk management and quality aspects of Indian automotive industries. The potential risks are identified in the supply chain by taking the inputs from available literature. The supply chain risk management enablers are further identified so that most critical supply chain risks can be prioritised and ranked. The study successfully identified enablers from Indian automotive industry perspective, which include relationship, multiple sourcing, redundancy, flexibility, coordination, visibility, collaboration, and postponement. This work also performed analysis of each enables and guidance to identify the most appropriate supply chain risk management strategy is presented. The survey tool for twenty highly experienced professionals is implemented. The results show that the top enablers are relationship and multiple sourcing in Indian context to design the most efficient risk management and supply chain quality improvement policies. It was also found out that production problem at supplier end, internal machine breakdown, and raw material fluctuations are most critical risks in modern Indian automotive supply chain environment.

Suggested Citation

  • Aditya Gautam & Surya Prakash & Umang Soni, 2018. "Supply chain risk management and quality: a case study and analysis of Indian automotive industry," International Journal of Intelligent Enterprise, Inderscience Enterprises Ltd, vol. 5(1/2), pages 194-212.
  • Handle: RePEc:ids:ijient:v:5:y:2018:i:1/2:p:194-212
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    Cited by:

    1. Abdullah Alhamad & Hashed Mabkhot, 2023. "Determinants of Product Innovation Performance in Aviation Industry in Saudi Arabia," Economies, MDPI, vol. 11(2), pages 1-18, February.
    2. Muzzammil Wasim Syed & Ji Zu Li & Muhammad Junaid & Xue Ye & Muhammad Ziaullah, 2019. "An Empirical Examination of Sustainable Supply Chain Risk and Integration Practices: A Performance-Based Evidence from Pakistan," Sustainability, MDPI, vol. 11(19), pages 1-21, September.
    3. Chih-Hung Hsu & Ru-Yue Yu & An-Yuan Chang & Wan-Ling Liu & An-Ching Sun, 2022. "Applying Integrated QFD-MCDM Approach to Strengthen Supply Chain Agility for Mitigating Sustainable Risks," Mathematics, MDPI, vol. 10(4), pages 1-41, February.

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