American Journal of Theoretical and Applied Statistics

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Discrete Time Semi-Markov Model of a Two Non-Identical Unit Cold Standby System with Preventive Maintenance with Three Modes

Received: 28 May 2015    Accepted: 10 June 2015    Published: 30 June 2015
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Abstract

This paper presents the reliability and availability measures of a two non-identical unit cold standby redundant system (unit-1 is operating, and unit-2 is cold standby) using semi-Markov process under discrete parametric Markov-Chain i.e. failure and repair times of a unit and time to PM and PM time are taken as discrete random variables assuming three different modes (normal (N) mode, partial failure (P) mode and total failure (F) mode) of each unit. The unit-1 is sent for preventive maintenance (PM) after its working for a random period of time assuming that the failure and repair times of a unit and time to PM and PM time are taken as discrete random variables having geometric distributions with different parameters. A single repairman is available with the system for PM of unit-1 and repair of both units. The system is considered in up-state if only one or two units are operative or in partial failure (P) mode. After some basic definitions and notations, we obtain various measures of system effectiveness; reliability, availability, mean time to failure, busy period of repairman due to PM of unit-1, busy period of repairman due to repair of unit-1 and unit-2 from total failure, and the expected profit function using regenerative point technique. The mathematical problem thus developed has next been solved numerically and graphically represented by the aid of Maple program.

DOI 10.11648/j.ajtas.20150404.18
Published in American Journal of Theoretical and Applied Statistics (Volume 4, Issue 4, July 2015)
Page(s) 277-290
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Semi-Markov, Discrete-Time, Cold Standby, Reliability, Mean Sojourn Time, Regenerative Point Technique

References
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[4] Grabski, F.: Semi-Markov models of reliability and operation. Warsaw: IBS PAN (in Polish), 2002.
[5] Grabski, F.: Application of semi-Markov processes in reliability. Electronic Journal. Reliability: Theory & Applications. Vol. 2, pp. 60-75, 2007.
[6] Grabski, F., Kołowrocki, K.: Asymptotic Reliability of Multistate System with semi-Markov states of components. Proc. of the European Conference on Safety and Reliability. Safety and Reliability. Pp. 317-322, 1999.
[7] Grabski, F.: The reliability of an object with semi-Markov failure rate. Applied Mathematics and Computation. Vol. 135, pp. 1-16, 2003.
[8] Limnios, N., Ouhbi, B.: Nonparametric estimation of some important indicators in reliability for semi-Markov processes.Statistical Methodology.Vol. 3, pp. 341-350, 2006.
[9] Korolyuk, V.S., Turbin, A.F.: Semi-Markov processes and their applications. Naukova Dumka (in Russian), 1976.
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[11] Gupta, R., Bhardwaj, P.: A Discrete Parametric Markov-Chain Model of a Two Non-Identical Unit Cold Standby System with Preventive-Maintenance. International Journal of Research and Reviews in Applied Sciences. Vol. 17, pp. 295-305 2013.
[12] El-Said, K. M., El-Sherbeny, M. S.: Profit Analysis of a Two-Unit Cold Standby System with Preventive Maintenance and Random Change in Units. Journal of Mathematics and Statistics. Vol.1, pp. 71-77, 2005.
[13] El-Damcese, M. A., Helmy, A. N.: Study of Reliability with Mixed Standby Components. Applications and Applied Mathematics: An International Journal (AAM). Vol.7, pp. 672-690, 2012.
[14] Mokaddis , G. S., Matta, C. H.: Cost Analysis of a Two Dissimilar-Unit Cold Standby Redundant System Subject To Inspection and Random Change in Units. Journal of Mathematics and Statistics. Vol. 6, pp. 306-315, 2010.
[15] Gupta, R., Bhardwaj, P.: A Two-Unit Standby System with Regular Repairman and Waiting Time of Skilled Repairman. Journal of Mathematical and Computational Science. Vol. 3, pp. 1115-1130, 2013.
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[17] Singh, S. K., Srinivasu, B.: Stochastic Analysis of a Two-Unit Cold Standby System with Preparation Time for Repair. Microelectronics Reliability. Vol. 27, pp. 55-60, 1987.
[18] GoelL. R. and Srivastva, P.: A Two-Unit Cold Standby System with Three Modes and Correlated Failures and Repairs. Microelectronics Reliability. Vol. 31, pp. 835-840, 1991.
[19] Malik, A.: Probabilistic Analysis of a Two-Unit Cold Standby System with Partial Failure. Ordinary and Expert Repairman. International Journal of Innovative Research and Studies. Vol. 13, pp. 195-209, 2014.
[20] El-Said, K. M., Abd El-Hamid, R.: Comparison of Reliability Characteristics of Two Systems with Preventive Maintenance and Different Modes. Information and Management Sciences. Vol. 19, pp. 107-118, 2008.
[21] Gupta, R., Bhardwaj, P.: A Two-Unit Standby System with Two Operative Modes of the Units and Preparation Time for Repair. Journal of Reliability and Statistical Studies. Vol. 6, pp. 87-100, 2013.
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[23] Goel, L.R., Gupta, R.: Analysis of a Two-Unit Cold Standby System with Three Modes and Imperfect Switching Device. Microelectronics Reliability. Vol. 24, pp. 425-429, 1984.
[24] Haggag, M. Y.: Cost Analysis of Two-Dissimilar-Unit Cold Standby System With Three States and Preventive Maintenance Using Linear First Order Differential Equations. Journal of Mathematics and Statistics. Vol. 5, pp. 395-40,2009.
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  • APA Style

    Medhat Ahmed El-Damcese, Naglaa Hassan El-Sodany. (2015). Discrete Time Semi-Markov Model of a Two Non-Identical Unit Cold Standby System with Preventive Maintenance with Three Modes. American Journal of Theoretical and Applied Statistics, 4(4), 277-290. https://doi.org/10.11648/j.ajtas.20150404.18

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    ACS Style

    Medhat Ahmed El-Damcese; Naglaa Hassan El-Sodany. Discrete Time Semi-Markov Model of a Two Non-Identical Unit Cold Standby System with Preventive Maintenance with Three Modes. Am. J. Theor. Appl. Stat. 2015, 4(4), 277-290. doi: 10.11648/j.ajtas.20150404.18

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    AMA Style

    Medhat Ahmed El-Damcese, Naglaa Hassan El-Sodany. Discrete Time Semi-Markov Model of a Two Non-Identical Unit Cold Standby System with Preventive Maintenance with Three Modes. Am J Theor Appl Stat. 2015;4(4):277-290. doi: 10.11648/j.ajtas.20150404.18

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  • @article{10.11648/j.ajtas.20150404.18,
      author = {Medhat Ahmed El-Damcese and Naglaa Hassan El-Sodany},
      title = {Discrete Time Semi-Markov Model of a Two Non-Identical Unit Cold Standby System with Preventive Maintenance with Three Modes},
      journal = {American Journal of Theoretical and Applied Statistics},
      volume = {4},
      number = {4},
      pages = {277-290},
      doi = {10.11648/j.ajtas.20150404.18},
      url = {https://doi.org/10.11648/j.ajtas.20150404.18},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20150404.18},
      abstract = {This paper presents the reliability and availability measures of a two non-identical unit cold standby redundant system (unit-1 is operating, and unit-2 is cold standby) using semi-Markov process under discrete parametric Markov-Chain i.e. failure and repair times of a unit and time to PM and PM time are taken as discrete random variables assuming three different modes (normal (N) mode, partial failure (P) mode and total failure (F) mode) of each unit. The unit-1 is sent for preventive maintenance (PM) after its working for a random period of time assuming that the failure and repair times of a unit and time to PM and PM time are taken as discrete random variables having geometric distributions with different parameters. A single repairman is available with the system for PM of unit-1 and repair of both units. The system is considered in up-state if only one or two units are operative or in partial failure (P) mode. After some basic definitions and notations, we obtain various measures of system effectiveness; reliability, availability, mean time to failure, busy period of repairman due to PM of unit-1, busy period of repairman due to repair of unit-1 and unit-2 from total failure, and the expected profit function using regenerative point technique. The mathematical problem thus developed has next been solved numerically and graphically represented by the aid of Maple program.},
     year = {2015}
    }
    

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    T1  - Discrete Time Semi-Markov Model of a Two Non-Identical Unit Cold Standby System with Preventive Maintenance with Three Modes
    AU  - Medhat Ahmed El-Damcese
    AU  - Naglaa Hassan El-Sodany
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    JF  - American Journal of Theoretical and Applied Statistics
    JO  - American Journal of Theoretical and Applied Statistics
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    UR  - https://doi.org/10.11648/j.ajtas.20150404.18
    AB  - This paper presents the reliability and availability measures of a two non-identical unit cold standby redundant system (unit-1 is operating, and unit-2 is cold standby) using semi-Markov process under discrete parametric Markov-Chain i.e. failure and repair times of a unit and time to PM and PM time are taken as discrete random variables assuming three different modes (normal (N) mode, partial failure (P) mode and total failure (F) mode) of each unit. The unit-1 is sent for preventive maintenance (PM) after its working for a random period of time assuming that the failure and repair times of a unit and time to PM and PM time are taken as discrete random variables having geometric distributions with different parameters. A single repairman is available with the system for PM of unit-1 and repair of both units. The system is considered in up-state if only one or two units are operative or in partial failure (P) mode. After some basic definitions and notations, we obtain various measures of system effectiveness; reliability, availability, mean time to failure, busy period of repairman due to PM of unit-1, busy period of repairman due to repair of unit-1 and unit-2 from total failure, and the expected profit function using regenerative point technique. The mathematical problem thus developed has next been solved numerically and graphically represented by the aid of Maple program.
    VL  - 4
    IS  - 4
    ER  - 

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Author Information
  • Mathematics Department, Faculty of Science, Tanta University, Tanta, Egypt

  • National Accounts Department, Central Agency for Public Mobilization and Statistics, Cairo, Egypt

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