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Three reliability models of a building cable manufacturing plant: a comparative analysis

Author

Listed:
  • S. Z. Taj

    (National University of Science and Technology)

  • S. M. Rizwan

    (National University of Science and Technology)

  • B. M. Alkali

    (Glasgow Caledonian University)

  • D. K. Harrison

    (Glasgow Caledonian University)

  • G. Taneja

    (Maharshi Dayanand University)

Abstract

In this paper, comparative analysis between the profits of three reliability models of a building cable manufacturing plant is carried out. To facilitate the analysis, real maintenance data of the plant are collected. Three case specific reliability models of the plant are developed. Semi-Markov processes and regenerative point techniques are used to estimate optimized reliability indices of the plant; such as; mean time to plant failure, plant availability, expected number of plant repairs, expected busy period of the repairman and profit incurred to the plant. Comparison between the profits is demonstrated through graphical analysis.

Suggested Citation

  • S. Z. Taj & S. M. Rizwan & B. M. Alkali & D. K. Harrison & G. Taneja, 2020. "Three reliability models of a building cable manufacturing plant: a comparative 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. 11(2), pages 239-246, July.
    • Handle: RePEc:spr:ijsaem:v:11:y:2020:i:2:d:10.1007_s13198-020-01012-8
    DOI: 10.1007/s13198-020-01012-8
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    References listed on IDEAS

    as
    1. Ram Niwas & M. S. Kadyan & Jitender Kumar, 2016. "MTSF (mean time to system failure) and profit analysis of a single-unit system with inspection for feasibility of repair beyond warranty," 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 198-204, December.
    2. Seyed Mohammad Mortazavi & Mahdi Karbasian & Sareh Goli, 2017. "Evaluating MTTF of 2-out-of-3 redundant systems with common cause failure and load share based on alpha factor and capacity flow models," 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(3), pages 542-552, September.
    3. Anjali Naithani & Bhupender Parashar & P. K. Bhatia & Gulshan Taneja, 2017. "Probabilistic analysis of a 3-unit induced draft fan system with one warm standby with priority to repair of the unit in working state," 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 1383-1391, November.
    4. R. K. Bhardwaj & Komaldeep Kaur & S. C. Malik, 2017. "Reliability indices of a redundant system with standby failure and arbitrary distribution for repair and replacement times," 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 423-431, June.
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    Cited by:

    1. Monika & Garima Chopra, 2024. "Reliability assessment of an industrial system considering failures in its raw material inventory," 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. 15(6), pages 2704-2714, June.

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