About: Discrete-Time Markov Chains in Reliability Analysis-Case Study

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://link.springer.com/chapter/10.1007%2F978-3-642-33018-6_43
Description	The paper presents reliability analysis drawn up for an industrial firm. The main goal of this paper is to estimate the probability of firms failure to satisfy an order to its industrial partners. The second aim is to quantify expected value of amount of manufactured products for specific time period. Discrete Markov chains- well-known method of stochastic modelling describes the issue. The method is suitable for many systems occurring in practice where we can easily distinguish various amount of states. The disadvantage of Markov chains is that the amount of computations usually increases rapidly with the amount of states. The Monte Carlo method was implemented to deal with the problem. Chebyshev's inequality was applied to estimate sufficient number of simulations. The paper presents reliability analysis drawn up for an industrial firm. The main goal of this paper is to estimate the probability of firms failure to satisfy an order to its industrial partners. The second aim is to quantify expected value of amount of manufactured products for specific time period. Discrete Markov chains- well-known method of stochastic modelling describes the issue. The method is suitable for many systems occurring in practice where we can easily distinguish various amount of states. The disadvantage of Markov chains is that the amount of computations usually increases rapidly with the amount of states. The Monte Carlo method was implemented to deal with the problem. Chebyshev's inequality was applied to estimate sufficient number of simulations. (en)
Title	Discrete-Time Markov Chains in Reliability Analysis-Case Study Discrete-Time Markov Chains in Reliability Analysis-Case Study (en)
skos:prefLabel	Discrete-Time Markov Chains in Reliability Analysis-Case Study Discrete-Time Markov Chains in Reliability Analysis-Case Study (en)
skos:notation	RIV/61989100:27240/12:86084873!RIV13-TA0-27240___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(TA02011179)
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Krajc, Bohumil Skalný, Pavel
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / Fakulta elektrotechniky a informatiky
http://linked.open...dnocenehoVysledku	131475
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/12:86084873
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Study; Analysis-Case; Reliability; Chains; Markov; Discrete-Time (en)
http://linked.open.../riv/klicoveSlovo	Reliability Discrete-Time Analysis-Case Chains Markov Study
http://linked.open...ontrolniKodProRIV	[38E90D1C7B29]
http://linked.open...v/mistoKonaniAkce	Ostrava
http://linked.open...i/riv/mistoVydani	Berlin
http://linked.open...i/riv/nazevZdroje	Advances in Intelligent Systems and Computing
http://linked.open...in/vavai/riv/obor	BB
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	New methods for assessing levels of material damage when estimating the residual lifespan of structures
http://linked.open...UplatneniVysledku	2012
http://linked.open...iv/tvurceVysledku	Krajc, Bohumil Skalný, Pavel
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open...ain/vavai/riv/wos	000312969500043
http://linked.open.../riv/zahajeniAkce	2012-09-05 (xsd:date)
issn	2194-5357
number of pages	7 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-642-33018-6_43
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-642-33017-9
http://localhost/t...ganizacniJednotka	27240

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