Cost analysis of a two unit repairable system subject to on-line preventive maintenance and/or repair

Gopalan, M.N.; Bhanu, K.S.

doi:10.1016/0026-2714(95)90090-d

Cited by 20 publications

(7 citation statements)

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“…The cost models applied to reliability have been considered by Goel et al [19]. The cost analysis of a two-unit repairable system subject to online preventive maintenance and/or repair is discussed by Gopalan et al [20]. M/M/R machine repair problem with warm standbys under steady state conditions is studied by Wang [76].…”

Section: Reliability and Cost Analysis Of K-out-of-n Systemmentioning

confidence: 99%

Reliability Analysis of k-out-of-n: G System: A Short Review

Krishnan¹

2020

IJEAS

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Section: Reliability and Cost Analysis Of K-out-of-n Systemmentioning

confidence: 99%

Reliability Analysis of k-out-of-n: G System: A Short Review

Krishnan¹

2020

IJEAS

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“…Complex industrial systems are subject to failures because of many reasons which affect the profitability of the industry and hence reliability analysis plays an important role in understanding the system performance while dealing with real industrial problems under different operating conditions and assumptions. Gulshan et al [1] analyzed system with perfect repair under partial failure mode and priority for repair to completely failed unit, Gopalan & Basu [2] considered two unit repairable system subject to on-line preventive maintenance and/or repair, Tuteja et al [3]- [5] worked for two-units system with regular repairman who is not always available, system with perfect repair at partial failure or complete failure mode, and the profit evaluation of a two-units cold standby system with tiredness and two types of repairmen. Rizwan et al [6]- [12] analyzed cold and hot standby systems with single-unit and two-units under different failure and repair situations and the some important reliability indices are obtained along with the cost benefit analysis of the systems.…”

Section: Introductionmentioning

confidence: 99%

Reliability analysis of a subsystem in aluminium industry plant

Rahbi

Rizwan

Alkali

et al. 2017

2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)

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The paper deals with a specific subsystem analysis called butt shot blast station of an Aluminium plant, as the subsystem performance contribute to the entire functioning of the plant. Six years' maintenance data on failures, repairs and various associated costs are collected for the purpose of this analysis. Three types of maintenances noted for the subsystem viz., corrective maintenance, inspection as proactive maintenance and service on requirement. Measures of subsystem effectiveness such as mean time to subsystem failure, availability of the system, busy period analysis and expected number of visit by the repairman for repair have been obtained. Semi-Markov processes and regenerative point techniques are used in this analysis.

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“…In the field of reliability modeling several researchers Gupta and Kumar (1983); Gopalan and Murlidhar (1991); Gopalan and Bhanu (1995); Rizwan and Taneja (2000); Taneja et al (2004); Kumar et al (2010); Kumar and Bhatia (2011) and Kumar and Rani (2013) analyzed a large number of systems considering various concepts such as different failure modes, repairs, replacements, inspections, different operational stages however none of the researcher has carried out the analysis of BTS considering the above aspects. For hardware-software systems, Welke et al (1995); Teng et al (2006); Tumer and Smidts (2011); Kumar and Kapoor (2012) discussed various types of hardware and software failures.…”

Section: Jmssmentioning

confidence: 99%

Economic and Performance Evaluation of Stochastic Model on a Base Transceiver System Considering Various Operational Modes and Catastrophic Failures

Kumar¹

2013

Journal of Mathematics and Statistics

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In this study a stochastic model for a Base Transceiver System (BTS) is proposed that consists of various hardware and software components. A Base Transceiver System (BTS) may undergoes four modes during its operation viz normal, congestion, down and failure mode. The hardware and software components may have various types of major and minor faults. The occurrence of a minor fault leads to partial failure whereas a major fault and catastrophic failure leads to complete failure of the system. That may have various types of faults including major and minor faults. The aspect that a failure in hardware component, sometimes, leads to software failure in the system is also incorporated. On failure, the technicians first inspect whether there is hardware or software or hardware based software failure then recovery of the relevant component is done. Using Markov processes and regenerative point technique various measures of system performance are obtained. On the basis of these measures the profit analysis of the system is carried out. Various conclusions about reliability, performance and profit of the system are made on the basis of the graphical studies.

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Cost analysis of a two unit repairable system subject to on-line preventive maintenance and/or repair

Cited by 20 publications

References 1 publication

Reliability Analysis of k-out-of-n: G System: A Short Review

Reliability Analysis of k-out-of-n: G System: A Short Review

Reliability analysis of a subsystem in aluminium industry plant

Economic and Performance Evaluation of Stochastic Model on a Base Transceiver System Considering Various Operational Modes and Catastrophic Failures

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