A probabilistic early fault detection model for a feedback machining system with multiple types of spares

This paper studies corrective and preventive maintenance to provide a quality control policy. The corrective maintenance, depending on the time, of a feedback machining system model with a finite source and standbys is presented. Moreover, the system has a known number of servers to repair the damag...

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Bibliographic Details
Published inScientific reports Vol. 13; no. 1; pp. 22609 - 15
Main Authors El-Hadidy, Mohamed Abd Allah, Elshenawy, Assem Omar
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 18.12.2023
Nature Publishing Group
Nature Portfolio
Subjects
639/166/988
639/705
639/705/531
Algorithms
Assembly lines
Cold
Customer services
Feedback
Humanities and Social Sciences
Iterative methods
Laplace transforms
multidisciplinary
Preventive maintenance
Probability
Quality control
Science
Science (multidisciplinary)
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Summary:This paper studies corrective and preventive maintenance to provide a quality control policy. The corrective maintenance, depending on the time, of a feedback machining system model with a finite source and standbys is presented. Moreover, the system has a known number of servers to repair the damaged units, and it contains an inspector to ensure the maintenance quality of the repaired units. The exact value of the probability of n units in the system will be obtained by using an efficient algorithm that depends on the Laplace transformation. To promote the concept of preventive maintenance, we use this probability to get the probability of early fault detection as a function of time and in the steady state. The applicability of this model is discussed for different system capacities.
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ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-023-49073-6