Profit Analysis of a Standby Repairable System with Priority to Preventive Maintenance and Rest of Server Between Repairs

Authors

  • Chhama Aggarwal Department of Statistics, M.D. University, Rohtak-124001, India
  • Nitika Ahlawat Department of Statistics, M.D. University, Rohtak-124001, India
  • S. C. Malik Department of Statistics, M.D. University, Rohtak-124001, India

DOI:

https://doi.org/10.13052/jrss0974-8024.1414

Keywords:

Cold standby redundancy, stochastic process, rest of the server, preventive maintenance, priority, reliability characteristics and profit analysis

Abstract

The paper aims to bring out the profit analysis of a system with cold standby redundancy of two identical units. In the system, we keep one unit in working and the other is to back up the operation. The system requires preventive maintenance after a specific time. The server has the dual role to carry out repair activities in terms of preventive maintenance and repair of the failed unit. In addition to that, the server is allowed to take rest after each repair. There is no need of rest of the server after preventive maintenance. The provision of priority has been made for the preventive maintenance over repairs. The repairs are done to increase the efficiency and productivity level of the system. The failure rate follows exponential distribution while repair time, rest time of the server and preventive maintenance rate follow arbitrary distributions. The significant reliability characteristics including MTSF, long run availability, server busy time due to repair & preventive maintenance, expected number of repairs, expected number of preventive maintenances per unit time and profit function are obtained using the usual stochastic processes approach. For particular values of the parameters, the revenue per unit up-time and cost functions related to repair activities are considered to carry out the profit analysis of the system model. The results are shown graphically and numerically to highlight the effect of different parameters on some significant reliability characteristics

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Author Biographies

Chhama Aggarwal, Department of Statistics, M.D. University, Rohtak-124001, India

Chhama Aggarwal is a Ph.D. student at the Department of Statistics in Maharshi Dayanand University since October, 2018. She received her B.Sc. (H) Mathematics and M.Sc. in Mathematics degrees from University of Delhi, Delhi.

Nitika Ahlawat, Department of Statistics, M.D. University, Rohtak-124001, India

Nitika Ahlawat is a Ph.D. student at the Department of Statistics in Maharshi Dayanand University since December, 2019. She received her B.A. in Mathematics and Statistics and M.Sc. in Statistics degrees from M.D. University, Rohtak (Haryana).

S. C. Malik, Department of Statistics, M.D. University, Rohtak-124001, India

S. C. Malik is presently working as Professor & Head, Department of Statistics, M.D. University, Rohtak (Haryana). His field of research specialization are Reliability Theory, Sampling and Applied Statistics. He has a long research and teaching experience in subject of Statistics. He has supervised 40 Ph.D. students in the fields of reliability theory, sampling theory and applied statistics. Dr. Malik has been invited by various academic institutions to deliver talks and to present research papers at conferences/seminars/symposiums/workshops held in India and abroad including USA, UK, Portugal, Singapore, Germany, Hong-Kong, France, Spain, Netherland, Belgium, Austria, Italy, Japan, Switzerland and Nepal. He is reviewer of various journals specifically for the journals in the areas of Reliability, Operations Research and Statistics. Prof. Malik has been a member/life member of various academic/professional bodies. He is a founder President of Indian Association for Reliability and Statistics (IARS) and also Chief Editor of the UGC listed journal IJSRE being published by IARS.

References

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Published

2021-03-15

How to Cite

Aggarwal, C. ., Ahlawat, N. ., & Malik, S. C. . (2021). Profit Analysis of a Standby Repairable System with Priority to Preventive Maintenance and Rest of Server Between Repairs. Journal of Reliability and Statistical Studies, 14(01), 57–80. https://doi.org/10.13052/jrss0974-8024.1414

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