Three reliability models of a building cable manufacturing plant: a comparative analysis

Taj, S. Z.; Rizwan, S. M.; Alkali, Babakalli; Harrison, David K.; Taneja, Gulshan

doi:10.1007/s13198-020-01012-8

Cited by 5 publications

(2 citation statements)

References 18 publications

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“…Mathew et al [2]- [6] further studied the CC plant with scheduled maintenance, various installed capacities, and performed a comparison between the profits of two models of the plant. Padmavathi et al [24] extensively studied the reliability of a cable plant with various maintenance types, storage of surplus yield, seasonal operating strategies, and performed a comparative study among the profits of three models of the plant. Rizwan and Taj [25] worked on the reliability estimation of port PLCs whereas, Taj and Rizwan [26] evaluated the performance of a system using the best-fitted distribution for repair and restoration durations.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis Between Two Reliability Models of a Three-Unit Complex Industrial System

Taj,

Rizwan

2024

J. Multidiscip. Appl. Nat. Sci.

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A comparative analysis between two reliability models of a three-unit complex industrial system has been presented in this paper. Previously, real failure-maintenance data of a three-unit complex industrial system were collected. The situations depicted in the data were used for developing two appropriate reliability models for the system. Important reliability indicators of the system were estimated by applying Semi-Markov and regenerative processes. Here, a comparison between the reliability indices and profits of the two models is performed, which helps in identifying the suitability of one model over the other. Cut-off points for profits based on costs, revenues, and failure rates have also been obtained for deciding which of the two models is more profitable. Graphical analysis is also presented to illustrate the outcomes.

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Section: Introductionmentioning

confidence: 99%

Comparative Analysis Between Two Reliability Models of a Three-Unit Complex Industrial System

Taj,

Rizwan

2024

J. Multidiscip. Appl. Nat. Sci.

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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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Reliability and Sensitivity Analysis of a Wastewater Treatment Plant Operating with Two Blowers as a Single System

Taj,

Rizwan,

Sachdeva

2024

Springer Series in Reliability Engineering

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Three reliability models of a building cable manufacturing plant: a comparative analysis

Cited by 5 publications

References 18 publications

Comparative Analysis Between Two Reliability Models of a Three-Unit Complex Industrial System

Comparative Analysis Between Two Reliability Models of a Three-Unit Complex Industrial System

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

Reliability and Sensitivity Analysis of a Wastewater Treatment Plant Operating with Two Blowers as a Single System

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