IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v93y2008i6p913-919.html
   My bibliography  Save this article

Performance modeling in critical engineering systems using RAM analysis

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832007001317
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ress.2007.03.039?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Braglia, Marcello & Carmignani, Gionata & Frosolini, Marco & Zammori, Francesco, 2012. "Data classification and MTBF prediction with a multivariate analysis approach," Reliability Engineering and System Safety, Elsevier, vol. 97(1), pages 27-35.
    2. Faccio, M. & Persona, A. & Sgarbossa, F. & Zanin, G., 2014. "Industrial maintenance policy development: A quantitative framework," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 85-93.
    3. Ikuobase Emovon & Rosemary A. Norman & Alan J. Murphy, 2018. "Hybrid MCDM based methodology for selecting the optimum maintenance strategy for ship machinery systems," Journal of Intelligent Manufacturing, Springer, vol. 29(3), pages 519-531, March.
    4. Davide Consoli & Fabrizio Fusillo & Gianluca Orsatti & Francesco Quatraro, 2021. "Skill endowment, routinisation and digital technologies: evidence from U.S. Metropolitan Areas," Industry and Innovation, Taylor & Francis Journals, vol. 28(8), pages 1017-1045, September.
    5. Özcan, Evren Can & Ünlüsoy, Sultan & Eren, Tamer, 2017. "A combined goal programming – AHP approach supported with TOPSIS for maintenance strategy selection in hydroelectric power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1410-1423.
    6. Pinjala, Srinivas Kumar & Pintelon, Liliane & Vereecke, Ann, 2006. "An empirical investigation on the relationship between business and maintenance strategies," International Journal of Production Economics, Elsevier, vol. 104(1), pages 214-229, November.
    7. Pinciroli, Luca & Baraldi, Piero & Zio, Enrico, 2023. "Maintenance optimization in industry 4.0," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    8. Wang, Ling & Chu, Jian & Wu, Jun, 2007. "Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process," International Journal of Production Economics, Elsevier, vol. 107(1), pages 151-163, May.
    9. Dowlatshahi, Shad, 2008. "The role of industrial maintenance in the maquiladora industry: An empirical analysis," International Journal of Production Economics, Elsevier, vol. 114(1), pages 298-307, July.
    10. Fawaz Abdulmalek & Mehmet Savsar & Majid M. Aldaihani, 2012. "Design of experiments for the analysis of the effects of pallet arrival patterns and maintenance policies on FMC productivity," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 4(1), pages 91-106.
    11. Waeyenbergh, Geert & Pintelon, Liliane, 2009. "CIBOCOF: A framework for industrial maintenance concept development," International Journal of Production Economics, Elsevier, vol. 121(2), pages 633-640, October.
    12. Borunda, Mónica & Jaramillo, O.A. & Reyes, Alberto & Ibargüengoytia, Pablo H., 2016. "Bayesian networks in renewable energy systems: A bibliographical survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 32-45.
    13. Bertolini, Massimo & Bevilacqua, Maurizio, 2006. "A combined goal programming—AHP approach to maintenance selection problem," Reliability Engineering and System Safety, Elsevier, vol. 91(7), pages 839-848.
    14. Savsar, Mehmet, 2006. "Effects of maintenance policies on the productivity of flexible manufacturing cells," Omega, Elsevier, vol. 34(3), pages 274-282, June.
    15. Carnero, MaCarmen, 2006. "An evaluation system of the setting up of predictive maintenance programmes," Reliability Engineering and System Safety, Elsevier, vol. 91(8), pages 945-963.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:93:y:2008:i:6:p:913-919. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.