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dc.creatorMašović, Snežana
dc.creatorStošić, Saša
dc.creatorHajdin, Rade
dc.date.accessioned2019-04-19T14:24:24Z
dc.date.available2019-04-19T14:24:24Z
dc.date.issued2015
dc.identifier.urihttp://grafar.grf.bg.ac.rs/handle/123456789/715
dc.description.abstractThe state-of-the-art Bridge Management Systems (BMSs) feature tightly coupled deterioration and preservation optimization model that enable determining the most cost-effective maintenance strategies at both the project and network levels. In other to improve deterioration model, many authors suggest the application of Weibull distribution for the sojourn time in condition states. Consequently, one has to solve semi-Markov decision process to determine the optimum preservation policy. It can be shown that the long-run optimal policies obtained using semi-Markov model doesn't differ from those of time homogenous Markov chains for average cost criteria if the expected sojourn times in each condition state are same for both model. However, financial needs differ between the models depending on distribution parameters of sojourn time in each condition state. It is therefore that the estimation of these parameters is crucial for the realistic estimation of the financial needs. In this paper, the semi-Markov decision process is briefly presented and recommendations regarding its practical applications in bridge management are given.en
dc.publisherInternational Association for Bridge and Structural Engineering (IABSE)
dc.rightsrestrictedAccess
dc.sourceIABSE Conference, Geneva 2015: Structural Engineering: Providing Solutions to Global Challenges - Re
dc.subjectBridge Management Systemsen
dc.subjectSemi-markov decision processen
dc.subjectfinancial needsen
dc.titleApplication of semi-Markov decision process in bridge managementen
dc.typeconferenceObject
dc.rights.licenseARR
dc.citation.epage1024
dc.citation.other: 1017-1024
dc.citation.spage1017
dc.identifier.rcubconv_2153
dc.identifier.scopus2-s2.0-84971268678
dc.type.versionpublishedVersion


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