Profit analysis of a computer system with preventive maintenance and priority subject to maximum operation and repair times

Kumar, Ashish; Saini, Monika

doi:10.1007/s42044-018-0011-8

Cited by 9 publications

(2 citation statements)

References 7 publications

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“…Kumar and Saini (2018a) analyzed the availability of marine power plant using the fuzzy method. Kumar and Saini (2018b) discuss the impact of preventive maintenance and repair priority on the profit of a computer system. Kumar et al (2018) presented stochastic modelling of a non-identical system following Weibull distribution with priority and preventive maintenance.…”

Section: Literature Reviewmentioning

confidence: 99%

Reliability and performance prediction of a small serial solar photovoltaic system for rural consumption using the Gumbel-Hougaard family copula

Maihulla

Yusuf

2021

Life Cycle Reliab Saf Eng

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The current study looks into the dependability and performance of a solar photovoltaic system that is configured in series. The system's performance is measured using system strength indicators such as reliability, availability, mean time to failure, and cost measures. The system is made up of four subsystems: a 3-out-of-5 panel, a charge controller, a 2-out-of-3 battery bank, and an inverter. In contrast to some industrial and manufacturing systems, the system is assumed to operate at full capacity. In the current study, failure is classified as complete or incomplete. A complete failure occurs when any of the subsystems fails, whereas an incomplete failure occurs when a unit in the panel subsystem or battery bank fails. The system is analyzed using the linear differential-difference equation, supplementary variable technique, Gumbel-Hougaard family of copula to obtain expressions of reliability measures of determining system strength such as availability, reliability, mean time to failure (MTTF), and profit function. To illustrate the obtained results and to analyze the effect of various system parameters, numerical examples are provided. The current study is beneficial to areas with low energy consumption, such as schools and homes, in alleviating some of the challenges they face. KeywordsCopula • Solar panel • Availability • Parallel • Photovoltaic Abbreviations s Laplace transform variable for all expressions t Time variable on a time scale 1 Failure rate of the unit in subsystem 1 2 Failure rate of the unit in subsystem 2 3 Failure rate of the unit in subsystem 3 4 0 (x) Copula repair of full failure of unit in subsystem 1 0 (y) Copula repair of full failure of unit in subsystem 2 0 (z) Copula repair of full failure of unit in subsystem 3 0 (k) Copula repair of full failure of unit in subsystem 4 * Ibrahim Yusuf

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Section: Literature Reviewmentioning

confidence: 99%

Reliability and performance prediction of a small serial solar photovoltaic system for rural consumption using the Gumbel-Hougaard family copula

Maihulla

Yusuf

2021

Life Cycle Reliab Saf Eng

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“…Dhankhar (2011), Dhankhar et al (2012), Bhardwaj and Singh (2015); Nandal and Rathee (2015) have considered the idea of failure of service facility (called server) while studying stochastic models of repairable systems. Further, Kumar and Saini (2018) have also studied computer systems with cold standby redundancy for the entire system by adopting different repair policies. However, the concept of failure of service facility has not been much introduced in the stochastic modeling of computer systems with unit wise redundancy in cold standby.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Analysis of a Computer System with Unit Wise Cold Standby Redundancy and Failure of Service Facility

Yadav¹,

Malik²

2020

Int J Math, Eng, Manag Sci

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Here, we analyze stochastically a computer system by taking one more similar unit (called computer system) in cold standby redundancy. The computer system consists of hardware and software components together. The provision of a single service facility has been made for repairing hardware and up-grading the software. The failure of the service facility is considered which resumes the jobs with full efficiency as new after availing treatment. The failure rates of hardware and software components as well as failure rate of the service facility are taken as constant and thus follow negative exponential distribution. The treatment rate of the service facility, repair rate of the hardware and up-gradation rate of the software follow arbitrary distributions with different probability density functions. Efforts have been made to determine reliability measures in steady state by using SMP and RPT. The behavior of MTSF, availability and also the profit function is observed graphically for some particular situations of the parameters.

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Reliability Indices of a Computer System with Priority and Server Failure

Malik¹,

Yadav²,

Nandal³

2023

Computational Intelligence in Sustainable Reliability Engineering

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Profit analysis of a computer system with preventive maintenance and priority subject to maximum operation and repair times

Cited by 9 publications

References 7 publications

Reliability and performance prediction of a small serial solar photovoltaic system for rural consumption using the Gumbel-Hougaard family copula

Reliability and performance prediction of a small serial solar photovoltaic system for rural consumption using the Gumbel-Hougaard family copula

Stochastic Analysis of a Computer System with Unit Wise Cold Standby Redundancy and Failure of Service Facility

Reliability Indices of a Computer System with Priority and Server Failure

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