Comparing of reliability characteristics between two different systems

El-Said, Khaled M.

doi:10.1016/j.amc.2005.04.062

Cited by 6 publications

(2 citation statements)

References 6 publications

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“…Much research on system reliability measures has been done using the semi-Markov process and regenerative point technique. Murari et al (1985), Goel et al (1985), Muralidhar (1991), Tuteja andTaneja (1993), Siwach et al (2001), El-Said andEl-Sherbeny (2006), Rizwan et al (2010), Batra and Taneja (2019), Sheetal et al (2019), Taj et al (2020), Sultan and Moshref (2021) and Bhatti and Kakkar (2022) have worked on the reliability analysis of the systems using regenerative point technique. Aggarwal and Malik (2020) have analyzed the profit of a repairable cold standby system, where the server is free to take a rest between repairs.…”

Section: Introductionmentioning

confidence: 99%

Reliability Modeling of a Food Industrial System with two Types of Repair Persons wherein Demand is Season Dependent

Monika

Chopra

2022

Int. j. math. eng. manag. sci.

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The present study pertains to developing a reliability model concerning a food industrial system that runs throughout the month except for Sundays. There are two types of repair persons engaged with the system, one known as operator while another is fitter. The operator is responsible for minor repairs, while the fitter is responsible for major repairs. It is also noticed that the operator is the first person who attends the failed unit in case of a major failure. If the operator is found incapable of repairing the unit within some patience time, then the fitter is called. While gathering the actual month-wise data of the plant, two types of seasons, namely normal and festival seasons, have been recorded. The festival season is from July to November, while the normal season is from December to June, based on consumer demand. During the months of the normal season, the system is shut down for a few days as the demand gets accomplished before the month ends. However, during the festival season, the system has to be kept operational throughout the month to fulfill the high demand for the product. The semi-Markov process and regenerative point technique are used to assess the reliability measures, namely mean time to system failure (MTSF), system availability in both seasons, expected busy period of the repair persons, and expected downtime of the system. The overall profitability of the system is also demonstrated by Graphical interpretation.

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Section: Introductionmentioning

confidence: 99%

Reliability Modeling of a Food Industrial System with two Types of Repair Persons wherein Demand is Season Dependent

Monika

Chopra

2022

Int. j. math. eng. manag. sci.

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“…Maintaining a high or required level of availability is often an essential requisite. El-Said and El-Sherbeny [2] studied two systems, each system with two parallel components. The second system differs from the first system due to the additional feature of preventive maintenance.…”

Section: Introductionmentioning

confidence: 99%

Optimal System for Warm Standby Components in the Presence of Standby Switching Failures, Two Types of Failures and General Repair Time

SalahEL-Sherbeny

2012

IJCA

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Two different system configurations with warm standby components, standby switching failures, two types of failures "common cause failure and hardware failure" and general repair are compared based on the availability. The time-tofailure for each of the primary and warm standby components are assumed to follow the exponential distribution. Laplace transforms of state probability equations are developed by using the supplementary variable technique. We develop the explicit expressions for the steady-state availability, Av, for two configurations. For all configurations, comparisons are made for specific values of distribution parameters and of the cost of the components. The configurations are ranked based on Av and cost/benefit, for three various repair time distributions: Gamma (G), Weibull (W) and Lognormal (L), where benefit is Av.

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GERT analysis for a dissimilar two-engine aeroplane model with CCF, human error and PM

El-Sherbeny

2010

International Journal of Quality & Reliability Management

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Comparing of reliability characteristics between two different systems

Cited by 6 publications

References 6 publications

Reliability Modeling of a Food Industrial System with two Types of Repair Persons wherein Demand is Season Dependent

Reliability Modeling of a Food Industrial System with two Types of Repair Persons wherein Demand is Season Dependent

Optimal System for Warm Standby Components in the Presence of Standby Switching Failures, Two Types of Failures and General Repair Time

GERT analysis for a dissimilar two-engine aeroplane model with CCF, human error and PM

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