Application of Stochastic Optimization to Optimal Preventive Maintenance Problem

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Application of Stochastic Optimization to Optimal Preventive Maintenance Problem

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Application of Stochastic Optimization to Optimal Preventive Maintenance Problem

Popis výsledku anglicky

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.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

10103 - Statistics and probability

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Applied Mathematics and Physics

ISSN

2327-4379

e-ISSN

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Svazek periodika

2021

Číslo periodika v rámci svazku

9

Stát vydavatele periodika

CN - Čínská lidová republika

Počet stran výsledku

15

Strana od-do

2461-2475

Kód UT WoS článku

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EID výsledku v databázi Scopus

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