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Performance modeling in critical engineering systems using RAM analysis

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  • Sharma, Rajiv Kumar
  • Kumar, Sunand

Abstract

Reliability, availability and maintainability (RAM) analysis of system is helpful in carrying out design modifications, if any, required to achieve minimum failures or to increase mean time between failures (MTBF) and thus to plan maintainability requirements, optimize reliability and maximize equipment availability. To this effect, the paper presents the application of RAM analysis in a process industry. Markovian approach is used to model the system behavior. For carrying out analysis, transition diagrams for various subsystems are drawn and differential equations associated with them are formulated. After obtaining the steady state solution the corresponding values of reliability and maintainability are estimated at different mission times. The computed results are presented to plant personnel for their active consideration. The results proved helpful to them for analyzing the system behavior and thereby to improve the system performance considerably by adopting and practicing suitable maintenance policies/strategies.

Suggested Citation

  • Sharma, Rajiv Kumar & Kumar, Sunand, 2008. "Performance modeling in critical engineering systems using RAM analysis," Reliability Engineering and System Safety, Elsevier, vol. 93(6), pages 913-919.
    • Handle: RePEc:eee:reensy:v:93:y:2008:i:6:p:913-919
    DOI: 10.1016/j.ress.2007.03.039
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    References listed on IDEAS

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    1. Waeyenbergh, Geert & Pintelon, Liliane, 2004. "Maintenance concept development: A case study," International Journal of Production Economics, Elsevier, vol. 89(3), pages 395-405, June.
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    Cited by:

    1. Yashi Vishwakarma & S. P. Sharma, 2016. "Uncertainty analysis of an industrial system using Intuitionistic Fuzzy Set Theory," 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. 7(1), pages 73-83, March.
    2. 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.
    3. Anil Kr. Aggarwal & Sanjeev Kumar & Vikram Singh, 2017. "Performance modeling of the serial processes in refining system of a sugar plant using RAMD analysis," 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. 8(2), pages 1910-1922, November.
    4. 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.

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