Cost and probabilistic analysis of series systems with mixed standby components

Wang, Kuo-Hsiung; Kuo, Ching-Chang

doi:10.1016/s0307-904x(00)00028-7

Cited by 71 publications

(37 citation statements)

References 8 publications

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“…r cm NC C (6) where N is the expected number of failure per year and r C is cost of repair per failure.…”

Section: Expected Cost Of Repairmentioning

confidence: 99%

“…The authors used semi-Markov method. The cost benefit analyses of system availability with warm standby units and imperfect coverage have been studied by [6][7][8][9][10]. Under the cost/benefit criterion, comparisons were made based on assumed numerical values given to the distribution parameters, as well as to the cost of the active and standby components.As noted from the literature, the redundancy of the system has been evaluated from performance and reliability perspective.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Redundancy for Power Generating Unit in a Cogeneration Power Plant

Reshid

Majid

Muhammad

2014

MATEC Web of Conferences

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Abstract. Redundancy system is very useful to enhance the performance and reliability of the power generation system of a cogeneration plant. However, the associated operating cost of redundancy system is very high. The common redundancies used in a cogeneration power plant are public utility and generator set. In order to select the best redundancy options which incurs minimum operating cost, it is required to evaluate the cost of different redundancy options. In this paper, net present value model (NPV) is developed to evaluate the cost of redundancy considering availability and reliability of the cogeneration system. Two steps applied to evaluate the redundancy cost of the cogeneration system. The first step is predicting the number of failures and downtime hours using availability and reliability analysis because redundancy is frequently used when the system failed. The second step is evaluating the cost of redundancy using NPV model. The results indicate that the use of public utility as redundancy option is costly compared to generator set option for long period of time. The major operation cost of public utility is contributed by the maximum demand charge cost which is about 57.9% of the total cost of redundancy. The study will be useful as a guide for the cogeneration operation to evaluate and select the redundancy option.

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“…r cm NC C (6) where N is the expected number of failure per year and r C is cost of repair per failure.…”

Section: Expected Cost Of Repairmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of Redundancy for Power Generating Unit in a Cogeneration Power Plant

Reshid

Majid

Muhammad

2014

MATEC Web of Conferences

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“…In queueing and reliability literature, the notable research works on Markov modeling of machining system with standby support can be found [cf. Wang and Kuo (2000), Wang and Ke (2003), and Haque and Armstrong (2007)]. Shree et al (2015) proposed a Markov model for the machining systems with hot spares.…”

Section: Introductionmentioning

confidence: 99%

Vacation model for Markov machine repair problem with two heterogeneous unreliable servers and threshold recovery

Jain

Meena

2017

J Ind Eng Int

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Markov model of multi-component machining system comprising two unreliable heterogeneous servers and mixed type of standby support has been studied. The repair job of broken down machines is done on the basis of bi-level threshold policy for the activation of the servers. The server returns back to render repair job when the prespecified workload of failed machines is build up. The first (second) repairman turns on only when the work load of N 1 (N 2 ) failed machines is accumulated in the system. The both servers may go for vacation in case when all the machines are in good condition and there are no pending repair jobs for the repairmen. Runge-Kutta method is implemented to solve the set of governing equations used to formulate the Markov model. Various system metrics including the mean queue length, machine availability, throughput, etc., are derived to determine the performance of the machining system. To provide the computational tractability of the present investigation, a numerical illustration is provided. A cost function is also constructed to determine the optimal repair rate of the server by minimizing the expected cost incurred on the system. The hybrid soft computing method is considered to develop the adaptive neuro-fuzzy inference system (ANFIS). The validation of the numerical results obtained by Runge-Kutta approach is also facilitated by computational results generated by ANFIS.

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“…Reference [5], [6] examined the cost analysis of two unit cold standby system involving preventive maintenance respectively. Reference [7] studied the cost and probabilistic analysis of series system with mixed standby components, and [8] studied cost benefit analysis of series systems with warm standby components involving general repair time where the server is not subject to breakdowns. The failure time and repair time are assumed to have exponential distribution.…”

Section: Introductionmentioning

confidence: 99%

Some Reliability Measures of a Deteriorating System

Yusuf

Hussaini²,

Yakasai³

2013

International Journal of Applied Mathematical Research

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In this paper, we studied some reliability characteristics of a repairable 3-out-of-4 system with three modes: normal, deterioration and failure modes. The deterioration mode could be slow or fast. Failure and repair time are assumed to be exponential. We develop the explicit expressions for steady-state availability, busy period of repair man, profit function and mean time to system failure for the system using linear first order differential equations. Various cases are analyzed graphically to investigate the impact of system parameters on MTSF and profit function.

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Cost and probabilistic analysis of series systems with mixed standby components

Cited by 71 publications

References 8 publications

Evaluation of Redundancy for Power Generating Unit in a Cogeneration Power Plant

Evaluation of Redundancy for Power Generating Unit in a Cogeneration Power Plant

Vacation model for Markov machine repair problem with two heterogeneous unreliable servers and threshold recovery

Some Reliability Measures of a Deteriorating System

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