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Sustainable production process: An application of reliability, availability, and maintainability methodologies in automotive manufacturing

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  • Hamzeh Soltanali
  • A.H.S Garmabaki
  • Adithya Thaduri
  • Aditya Parida
  • Uday Kumar
  • Abbas Rohani

Abstract

Automotive manufacturing industries are required to improve their productivity with higher production rates at the lowest cost, less number of unexpected shutdowns, and reliable operation. In order to achieve the above objectives, the application of reliability, availability, and maintainability methodologies can constitute for resilient operation, identifying the bottlenecks of manufacturing process and optimization of maintenance actions. In this article, we propose a framework for reliability, availability, and maintainability evaluation and maintenance optimization to improve the performance of conveying process of vehicle body in an automotive assembly line. The results of reliability, availability, and maintainability analysis showed that the reliability and maintainability of forklift and loading equipment are the main bottlenecks. To find the optimal maintenance intervals of each unit, a multi-attribute utility theory is applied for multi-criteria decision model considering reliability, availability, and costs. Due to the series configuration of conveying process in automotive assembly line, the optimized time intervals are obtained using opportunistic maintenance strategy. The results could be useful to improve operational performance and sustainability of the production process.

Suggested Citation

  • Hamzeh Soltanali & A.H.S Garmabaki & Adithya Thaduri & Aditya Parida & Uday Kumar & Abbas Rohani, 2019. "Sustainable production process: An application of reliability, availability, and maintainability methodologies in automotive manufacturing," Journal of Risk and Reliability, , vol. 233(4), pages 682-697, August.
    • Handle: RePEc:sae:risrel:v:233:y:2019:i:4:p:682-697
    DOI: 10.1177/1748006X18818266
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    References listed on IDEAS

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    1. Garmabaki, A.H.S. & Ahmadi, Alireza & Block, Jan & Pham, Hoang & Kumar, Uday, 2016. "A reliability decision framework for multiple repairable units," Reliability Engineering and System Safety, Elsevier, vol. 150(C), pages 78-88.
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    Cited by:

    1. Hamzeh Soltanali & Mehdi Khojastehpour & José Torres Farinha & José Edmundo de Almeida e Pais, 2021. "An Integrated Fuzzy Fault Tree Model with Bayesian Network-Based Maintenance Optimization of Complex Equipment in Automotive Manufacturing," Energies, MDPI, vol. 14(22), pages 1-21, November.
    2. He, Yihai & Zhao, Yixiao & Han, Xiao & Zhou, Di & Wang, Wenzhuo, 2020. "Functional risk-oriented health prognosis approach for intelligent manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    3. Giacomo Barbieri & Jose Daniel Hernandez, 2024. "Sustainability Indices and RAM Analysis for Maintenance Decision Making Considering Environmental Sustainability," Sustainability, MDPI, vol. 16(3), pages 1-23, January.
    4. Marko Orošnjak & Dragoljub Šević, 2023. "Benchmarking Maintenance Practices for Allocating Features Affecting Hydraulic System Maintenance: A West-Balkan Perspective," Mathematics, MDPI, vol. 11(18), pages 1-30, September.

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