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dc.creatorDjenadić, Stevan
dc.creatorIgnjatović, Dragan
dc.creatorTanasijević, Miloš
dc.creatorBugarić, Uglješa
dc.creatorJanković, Ivan
dc.creatorSubaranović, Tomislav
dc.date.accessioned2022-09-19T18:40:10Z
dc.date.available2022-09-19T18:40:10Z
dc.date.issued2019
dc.identifier.issn1996-1073
dc.identifier.urihttps://machinery.mas.bg.ac.rs/handle/123456789/3010
dc.description.abstractAvailability is one of the most used terms in maintainability engineering. This concept is used to denote: The quality of service of an engineering system, i.e., machines, weak points' analysis, asset management, as well as making decisions in the process of life cycle management. Availability is an overall indicator and contains partial indicators that are oriented towards reliability, maintenance, and logistical support. Availability presents a variable value and changes in time and space. Usually, availability is shown as the coefficient of time use of the machine. This approach is not good enough because it does not go into the structure of the availability itself and requires a high level of IT support in system monitoring. In this sense, this paper will use the fuzzy theory and the corresponding analytic hierarchy process (AHP) multi-criteria analysis to present a conceptual and mathematical model for the assessment of availability based on expert judgment. The model will be shown in the case study (on the example) of bulldozers working in the open-pit lignite mine.en
dc.publisherMDPI, Basel
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/33039/RS//
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/35040/RS//
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/33025/RS//
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceEnergies
dc.subjectfuzzy theoryen
dc.subjectexpert judgmenten
dc.subjectbulldozeren
dc.subjectavailabilityen
dc.subjectAHP multi-criteria analysisen
dc.titleDevelopment of the Availability Concept by Using Fuzzy Theory with AHP Correction, a Case Study: Bulldozers in the Open-Pit Lignite Mineen
dc.typearticle
dc.rights.licenseBY
dc.citation.issue21
dc.citation.other12(21): -
dc.citation.rankM22
dc.citation.volume12
dc.identifier.doi10.3390/en12214044
dc.identifier.fulltexthttp://machinery.mas.bg.ac.rs/bitstream/id/1684/3007.pdf
dc.identifier.scopus2-s2.0-85075568333
dc.identifier.wos000512340000023
dc.type.versionpublishedVersion


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