Matches in SemOpenAlex for { <https://semopenalex.org/work/W3049485562> ?p ?o ?g. }
- W3049485562 endingPage "750" @default.
- W3049485562 startingPage "722" @default.
- W3049485562 abstract "Purpose The purpose of this paper is to optimize the preventive maintenance based on fault tree (FT)–Bayesian network (BN) reliability for sugarcane harvester machine as a fundamental machine in the sugar industry that must be operated failure-free during a given period of the harvesting process. Design/methodology/approach To determine machine reliability using the algorithm developed based on mapping FTs into BNs, the common failures of 168 machines were carefully investigated over 12 years (2007–2019). This algorithm was then used to predict the harvester reliability, estimate delays by machine downtimes and their consequences on white sugar production losses that can be reduced by optimizing the preventive maintenance scheduling. Findings The optimization of preventive maintenance scheduling based on estimated reliability of sugarcane harvester machines using FT–BNs can reduce white sugar production losses, the operation-stopping breakdowns and the downtime costs as a crisis that the sugar industry is facing. Practical implications Machine reliability gradually decreased by 31.08% approximately, which resulted in a working time loss of 26% in the 2018–19 harvesting season. In total, the white sugar losses were estimated as 204.17 tons for burnt canes and 114.53 tons for green canes. The losses of the 2018–19 harvesting season have been 11.85 times greater than the first harvesting season. The proposed maintenance interval for critical subsystems including the hydraulic, chopper and base cutter were obtained as 1.815, 1.12 and 1.05 h, respectively. Originality/value In this study, a new approach was used to optimize preventive maintenance to reduce delays and their implications upon costs in time, inconvenience and white sugar losses. The FT–BNs algorithm was found a useful tool that was over-fitting of failure occurrence probabilities data for sugarcane harvester machine." @default.
- W3049485562 created "2020-08-21" @default.
- W3049485562 creator A5021658485 @default.
- W3049485562 creator A5070391552 @default.
- W3049485562 creator A5076587644 @default.
- W3049485562 creator A5077150720 @default.
- W3049485562 date "2020-08-14" @default.
- W3049485562 modified "2023-10-01" @default.
- W3049485562 title "Preventive maintenance optimization of sugarcane harvester machine based on FT-Bayesian network reliability" @default.
- W3049485562 cites W1509631625 @default.
- W3049485562 cites W1934300719 @default.
- W3049485562 cites W1968003600 @default.
- W3049485562 cites W1976102130 @default.
- W3049485562 cites W1989593261 @default.
- W3049485562 cites W2004436663 @default.
- W3049485562 cites W2006234346 @default.
- W3049485562 cites W2010760026 @default.
- W3049485562 cites W2047196166 @default.
- W3049485562 cites W2054279652 @default.
- W3049485562 cites W2058198940 @default.
- W3049485562 cites W2059342821 @default.
- W3049485562 cites W2066940772 @default.
- W3049485562 cites W2076087978 @default.
- W3049485562 cites W2086668606 @default.
- W3049485562 cites W2101093302 @default.
- W3049485562 cites W2139472569 @default.
- W3049485562 cites W2187594389 @default.
- W3049485562 cites W2204423477 @default.
- W3049485562 cites W2511033211 @default.
- W3049485562 cites W2527287982 @default.
- W3049485562 cites W2555434704 @default.
- W3049485562 cites W2790714170 @default.
- W3049485562 cites W2795655839 @default.
- W3049485562 cites W2897372698 @default.
- W3049485562 cites W2912396376 @default.
- W3049485562 cites W2913981419 @default.
- W3049485562 cites W2915930982 @default.
- W3049485562 cites W2920853940 @default.
- W3049485562 cites W2921464014 @default.
- W3049485562 cites W2921983760 @default.
- W3049485562 cites W2962807084 @default.
- W3049485562 cites W2989489722 @default.
- W3049485562 cites W2999733188 @default.
- W3049485562 doi "https://doi.org/10.1108/ijqrm-01-2020-0015" @default.
- W3049485562 hasPublicationYear "2020" @default.
- W3049485562 type Work @default.
- W3049485562 sameAs 3049485562 @default.
- W3049485562 citedByCount "5" @default.
- W3049485562 countsByYear W30494855622021 @default.
- W3049485562 countsByYear W30494855622022 @default.
- W3049485562 countsByYear W30494855622023 @default.
- W3049485562 crossrefType "journal-article" @default.
- W3049485562 hasAuthorship W3049485562A5021658485 @default.
- W3049485562 hasAuthorship W3049485562A5070391552 @default.
- W3049485562 hasAuthorship W3049485562A5076587644 @default.
- W3049485562 hasAuthorship W3049485562A5077150720 @default.
- W3049485562 hasConcept C107094494 @default.
- W3049485562 hasConcept C121332964 @default.
- W3049485562 hasConcept C127413603 @default.
- W3049485562 hasConcept C139719470 @default.
- W3049485562 hasConcept C162324750 @default.
- W3049485562 hasConcept C163258240 @default.
- W3049485562 hasConcept C180591934 @default.
- W3049485562 hasConcept C200601418 @default.
- W3049485562 hasConcept C24090081 @default.
- W3049485562 hasConcept C2778348673 @default.
- W3049485562 hasConcept C43214815 @default.
- W3049485562 hasConcept C62520636 @default.
- W3049485562 hasConcept C88463610 @default.
- W3049485562 hasConceptScore W3049485562C107094494 @default.
- W3049485562 hasConceptScore W3049485562C121332964 @default.
- W3049485562 hasConceptScore W3049485562C127413603 @default.
- W3049485562 hasConceptScore W3049485562C139719470 @default.
- W3049485562 hasConceptScore W3049485562C162324750 @default.
- W3049485562 hasConceptScore W3049485562C163258240 @default.
- W3049485562 hasConceptScore W3049485562C180591934 @default.
- W3049485562 hasConceptScore W3049485562C200601418 @default.
- W3049485562 hasConceptScore W3049485562C24090081 @default.
- W3049485562 hasConceptScore W3049485562C2778348673 @default.
- W3049485562 hasConceptScore W3049485562C43214815 @default.
- W3049485562 hasConceptScore W3049485562C62520636 @default.
- W3049485562 hasConceptScore W3049485562C88463610 @default.
- W3049485562 hasIssue "3" @default.
- W3049485562 hasLocation W30494855621 @default.
- W3049485562 hasOpenAccess W3049485562 @default.
- W3049485562 hasPrimaryLocation W30494855621 @default.
- W3049485562 hasRelatedWork W141106878 @default.
- W3049485562 hasRelatedWork W1568390478 @default.
- W3049485562 hasRelatedWork W2315243270 @default.
- W3049485562 hasRelatedWork W2513554153 @default.
- W3049485562 hasRelatedWork W2672304337 @default.
- W3049485562 hasRelatedWork W2954546861 @default.
- W3049485562 hasRelatedWork W3004560146 @default.
- W3049485562 hasRelatedWork W3034117175 @default.
- W3049485562 hasRelatedWork W4214827973 @default.
- W3049485562 hasRelatedWork W4386622550 @default.
- W3049485562 hasVolume "38" @default.
- W3049485562 isParatext "false" @default.