Estimation and Optimization for System Availability Under Preventive Maintenance

Engineers design systems to be reliable and work to fulfil their missions without failure for a specific period. However, the system components deteriorate with time and lead to its failures. A frequent system failure increases the management costs, hence posing a challenge to decision-makers. There...

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Published inIEEE access Vol. 10; pp. 94337 - 94353
Main Authors Raghav, Yashpal Singh, Mradula, Varshney, Rahul, Modibbo, Umar Muhammad, Ahmadini, Abdullah Ali H., Ali, Irfan
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Availability
Availability constraints
Continuity (mathematics)
Cost function
Decision making
exponential distribution
Genetic algorithms
Goal programming
Maintenance engineering
Markov processes
Optimization
Particle swarm optimization
Preventive maintenance
preventive maintenance policy
Reliability
Robustness (mathematics)
series-parallel system
Statistical tests
System failures
Online AccessGet full text
ISSN2169-3536
2169-3536
DOI10.1109/ACCESS.2022.3204394

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Abstract Engineers design systems to be reliable and work to fulfil their missions without failure for a specific period. However, the system components deteriorate with time and lead to its failures. A frequent system failure increases the management costs, hence posing a challenge to decision-makers. Therefore, for the avoidance of frequent system failures, preventive maintenance is necessary. The objective of any manufacturing firm is to maximize profit and minimize costs. The interval for preventive maintenance can be optimized if the system's availability is maximized and its cost function minimized. This study evaluates the availability and cost function for a continuous operating series-parallel system under a fixed time environment. A multiobjective model is formulated to maximize the availability and minimize the cost function of the system. The study illustrated a numerical example and solved using goal programming (GP), fuzzy goal programming (FGP), genetic algorithm (GA), and particle swarm optimization (PSO) techniques. The results are compared using a robust statistical test and, the PSO proves to be better. A simulation study was carried out further to evaluate the availability and cost function using R and MATLAB packages.
AbstractList Engineers design systems to be reliable and work to fulfil their missions without failure for a specific period. However, the system components deteriorate with time and lead to its failures. A frequent system failure increases the management costs, hence posing a challenge to decision-makers. Therefore, for the avoidance of frequent system failures, preventive maintenance is necessary. The objective of any manufacturing firm is to maximize profit and minimize costs. The interval for preventive maintenance can be optimized if the system’s availability is maximized and its cost function minimized. This study evaluates the availability and cost function for a continuous operating series-parallel system under a fixed time environment. A multiobjective model is formulated to maximize the availability and minimize the cost function of the system. The study illustrated a numerical example and solved using goal programming (GP), fuzzy goal programming (FGP), genetic algorithm (GA), and particle swarm optimization (PSO) techniques. The results are compared using a robust statistical test and, the PSO proves to be better. A simulation study was carried out further to evaluate the availability and cost function using R and MATLAB packages.
Author Modibbo, Umar Muhammad
Ahmadini, Abdullah Ali H.
Mradula
Raghav, Yashpal Singh
Varshney, Rahul
Ali, Irfan
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Snippet Engineers design systems to be reliable and work to fulfil their missions without failure for a specific period. However, the system components deteriorate...
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SubjectTerms Availability
Availability constraints
Continuity (mathematics)
Cost function
Decision making
exponential distribution
Genetic algorithms
Goal programming
Maintenance engineering
Markov processes
Optimization
Particle swarm optimization
Preventive maintenance
preventive maintenance policy
Reliability
Robustness (mathematics)
series-parallel system
Statistical tests
System failures
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Title Estimation and Optimization for System Availability Under Preventive Maintenance
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