Expert system application for prioritizing preventive actions for shift work: shift expert

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dc.authorid56406236900
dc.authorid55829443000
dc.authorid36924162600
dc.authorid26025934600
dc.contributor.authorEsen H.
dc.contributor.authorHatipoğlu T.
dc.contributor.authorCihan A.
dc.contributor.authorFiğlali N.
dc.date.accessioned20.04.201910:49:12
dc.date.accessioned2019-04-20T21:42:59Z
dc.date.available20.04.201910:49:12
dc.date.available2019-04-20T21:42:59Z
dc.date.issued2019
dc.departmentBayburt Üniversitesien_US
dc.description.abstractIntroduction. Shift patterns, work hours, work arrangements and worker motivations have increasingly become key factors for job performance. The main objective of this article is to design an expert system that identifies the negative effects of shift work and prioritizes mitigation efforts according to their importance in preventing these negative effects. The proposed expert system will be referred to as the shift expert. Methods. A thorough literature review is conducted to determine the effects of shift work on workers. Our work indicates that shift work is linked to demographic variables, sleepiness and fatigue, health and well-being, and social and domestic conditions. These parameters constitute the sections of a questionnaire designed to focus on 26 important issues related to shift work. The shift expert is then constructed to provide prevention advice at the individual and organizational levels, and it prioritizes this advice using a fuzzy analytic hierarchy process model, which considers comparison matrices provided by users during the prioritization process. An empirical study of 61 workers working on three rotating shifts is performed. After administering the questionnaires, the collected data are analyzed statistically, and then the shift expert produces individual and organizational recommendations for these workers. © 2017, © 2017 Central Institute for Labour Protection–National Research Institute (CIOP-PIB).en_US
dc.identifier.doi10.1080/10803548.2017.1350392
dc.identifier.endpage137
dc.identifier.issn1080-3548
dc.identifier.issue1
dc.identifier.pmid28675084en_US
dc.identifier.scopus2-s2.0-85029673866en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage123
dc.identifier.urihttps://dx.doi.org/10.1080/10803548.2017.1350392
dc.identifier.urihttps://hdl.handle.net/20.500.12403/324
dc.identifier.volume25
dc.identifier.wosWOS:000453395600015en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherTaylor and Francis Ltd.
dc.relation.ispartofInternational Journal of Occupational Safety and Ergonomicsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectergonomics
dc.subjectexpert system
dc.subjectfuzzy analytic hierarchy process
dc.subjectshift work
dc.subjectadult
dc.subjectaged
dc.subjectcircadian rhythm sleep disorder
dc.subjectexpert system
dc.subjectfatigue
dc.subjectfemale
dc.subjectfuzzy logic
dc.subjecthuman
dc.subjectmale
dc.subjectmiddle aged
dc.subjectoccupational health
dc.subjectquestionnaire
dc.subjectsleep
dc.subjectturkey (bird)
dc.subjectwork schedule
dc.subjectAdult
dc.subjectAged
dc.subjectExpert Systems
dc.subjectFatigue
dc.subjectFemale
dc.subjectFuzzy Logic
dc.subjectHumans
dc.subjectMale
dc.subjectMiddle Aged
dc.subjectOccupational Health
dc.subjectSleep
dc.subjectSleep Disorders, Circadian Rhythm
dc.subjectSurveys and Questionnaires
dc.subjectTurkey
dc.subjectWork Schedule Tolerance
dc.subjectergonomics
dc.subjectexpert system
dc.subjectfuzzy analytic hierarchy process
dc.subjectshift work
dc.subjectadult
dc.subjectaged
dc.subjectcircadian rhythm sleep disorder
dc.subjectexpert system
dc.subjectfatigue
dc.subjectfemale
dc.subjectfuzzy logic
dc.subjecthuman
dc.subjectmale
dc.subjectmiddle aged
dc.subjectoccupational health
dc.subjectquestionnaire
dc.subjectsleep
dc.subjectturkey (bird)
dc.subjectwork schedule
dc.subjectAdult
dc.subjectAged
dc.subjectExpert Systems
dc.subjectFatigue
dc.subjectFemale
dc.subjectFuzzy Logic
dc.subjectHumans
dc.subjectMale
dc.subjectMiddle Aged
dc.subjectOccupational Health
dc.subjectSleep
dc.subjectSleep Disorders, Circadian Rhythm
dc.subjectSurveys and Questionnaires
dc.subjectTurkey
dc.subjectWork Schedule Tolerance
dc.titleExpert system application for prioritizing preventive actions for shift work: shift experten_US
dc.typeArticleen_US

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