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A resilience engineering-based approach to improving service reliability in maintenance organizations

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  • Seyed Mohammad Asadzadeh

    (University of Tehran)

  • Hadi Maleki

    (University of Tehran)

  • Mehrab Tanhaeean

    (University of Tehran)

Abstract

Resilience engineering (RE) has introduced new ideas into reliability engineering and safety science and has highlighted new concepts of safe work that could be considered for reliability improvement. The aim of this paper is to put forward an approach within the framework of resilience engineering to service reliability improvement in maintenance organizations. The strategy for reliability improvement is based on mutual learning through collaboration among maintenance departments of a public gas company in 11 districts. The proposed approach first assesses RE in the maintenance departments using a standardized questionnaire. Using a linear regression model, then the relationship between RE and service reliability in the maintenance departments is identified. Service reliability is defined as the probability of undesirable events: non-working valves, gas leaks, unavailability of valves due to coverage by asphalt, and gas flow cut-offs. The pros and cons of departmental collaborative learning in terms of absorbing the RE best practices, managerial or political conflicts, and collaboration costs are discussed. Finally, a linear integer programming is formulated to find the best collaborative connections so that the maintenance departments could find those peers from whom they can benefit most, boost their RE practice, and finally improve their service reliability, while minimizing their costs and possible conflicts.

Suggested Citation

  • Seyed Mohammad Asadzadeh & Hadi Maleki & Mehrab Tanhaeean, 0. "A resilience engineering-based approach to improving service reliability in maintenance organizations," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-14.
    • Handle: RePEc:spr:ijsaem:v::y::i::d:10.1007_s13198-020-01015-5
    DOI: 10.1007/s13198-020-01015-5
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    References listed on IDEAS

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    1. Azadeh, A. & Amalnick, M.S. & Ghaderi, S.F. & Asadzadeh, S.M., 2007. "An integrated DEA PCA numerical taxonomy approach for energy efficiency assessment and consumption optimization in energy intensive manufacturing sectors," Energy Policy, Elsevier, vol. 35(7), pages 3792-3806, July.
    2. Hosseini, Seyedmohsen & Barker, Kash & Ramirez-Marquez, Jose E., 2016. "A review of definitions and measures of system resilience," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 47-61.
    3. Masoud Rabbani & Reza Yazdanparast & Mahdi Mobini, 2019. "An algorithm for performance evaluation of resilience engineering culture based on graph theory and matrix approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(2), pages 228-241, April.
    4. Furniss, Dominic & Back, Jonathan & Blandford, Ann & Hildebrandt, Michael & Broberg, Helena, 2011. "A resilience markers framework for small teams," Reliability Engineering and System Safety, Elsevier, vol. 96(1), pages 2-10.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. Wang, Wei & Maio, Francesco Di & Zio, Enrico, 2017. "Three-loop Monte Carlo simulation approach to Multi-State Physics Modeling for system reliability assessment," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 276-289.
    7. Shirali, Gh.A. & Mohammadfam, I. & Ebrahimipour, V., 2013. "A new method for quantitative assessment of resilience engineering by PCA and NT approach: A case study in a process industry," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 88-94.
    8. Ali Azadeh & Delaram Heydarian & Keivan Nemati & Reza Yazdanparast, 2018. "Performance optimization of unique resilient human resource management system in a coal mine industry," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(5), pages 1178-1197, October.
    9. Aven, Terje & Zio, Enrico, 2011. "Some considerations on the treatment of uncertainties in risk assessment for practical decision making," Reliability Engineering and System Safety, Elsevier, vol. 96(1), pages 64-74.
    10. Rimkevicius, Sigitas & Kaliatka, Algirdas & Valincius, Mindaugas & Dundulis, Gintautas & Janulionis, Remigijus & Grybenas, Albertas & Zutautaite, Inga, 2012. "Development of approach for reliability assessment of pipeline network systems," Applied Energy, Elsevier, vol. 94(C), pages 22-33.
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