Application of Stochastic Optimization to Optimal Preventive Maintenance Problem
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24510%2F21%3A00009315" target="_blank" >RIV/46747885:24510/21:00009315 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.4236/jamp.2021.910157" target="_blank" >https://doi.org/10.4236/jamp.2021.910157</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4236/jamp.2021.910157" target="_blank" >10.4236/jamp.2021.910157</a>
Alternative languages
Result language
angličtina
Original language name
Application of Stochastic Optimization to Optimal Preventive Maintenance Problem
Original language description
The contribution deals with the optimization of a sequential preventive maintenance schedule of a technical device. We are given an initial time-tofailure probability distribution, model of changes of this distribution after maintenance actions, as well as the costs of maintenance, of a device acquisition, and of the impact of failure. The maintenance timing and, eventually, its extent, are the matter of optimization. The objective of the contribution is two-fold: first, to formulate a proper (random) objective function evaluating the lifetime of the maintained device relatively to maintenance costs; second, to propose a numerical method searching for a maintenance policy optimizing selected characteristics of this objective function. The method is based on the MCMC random search combined with simulated annealing. It is also shown that such a method is rather universal for different problem specifications. The approach will be illustrated on an artificial example dealing with accelerated lifetime after each maintenance action.
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Applied Mathematics and Physics
ISSN
2327-4379
e-ISSN
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Volume of the periodical
2021
Issue of the periodical within the volume
9
Country of publishing house
CN - CHINA
Number of pages
15
Pages from-to
2461-2475
UT code for WoS article
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EID of the result in the Scopus database
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