Computer-Assisted Ergonomic Analysis of Working Postures Causing Strain

dc.contributor.authorEmir, Tuna
dc.contributor.authorVarol, Tuğrul
dc.contributor.authorÖzel, Halil Barış
dc.contributor.authorVarol, Tuğrul
dc.contributor.authorEmir, Tuna
dc.contributor.authorÖzel, Halil Barış
dc.date.accessioned2025-10-18T09:15:31Z
dc.date.created2022
dc.date.issued2022
dc.departmentFakülteler, Orman Fakültesi, Orman Endüstri Mühendisliği Bölümü
dc.departmentFakülteler, Orman Fakültesi, Orman Mühendisliği Bölümü
dc.description.abstractThe present study aimed to analyze the postures of workers in a workshop type small-scale furniture manufacturing factory considering seven workstations including edge banding station, horizontal circular saw cutting station, circular saw cutting station, borehole station, planning station, thickness adjustment (planning station, and band saw station. It was also intended to determine the points they have difficulty and what extent they have difficulty (i.e. the level of risk), and to bring the workplace conditions in compliance with the workers’ necessities through improvement arrangements about how they can avoid the ergonomic risks and dangers they face. Video recordings and photographs of each process were taken from different angles with cameras. Posture analysis was performed by selecting the movement that is most repetitive, longest, improper and forceful posture. Contrary to the previous studies incorporating estimation-based risk analyses, the present study employs uMED Ergonomics software, which allows analysis by collecting data (i.e. distance and angle) with measurement tools on the image, in analyzing the angles of body parts and clearly revealing the workers’ postures. Ergonomic risk analysis was performed using the REBA (Rapid Entire Body Assessment) method, as it numerically quantifies the degree of risk which is one of the effective risk assessment methods. It was determined that the posture modifications and some ergonomic improvements significantly reduced the risk level. Accordingly, once the risk levels were determined (high for Station 1, medium for other stations), the risks were reduced to very low for Stations 4 and 7, and low for other stations. © 2023 Elsevier B.V., All rights reserved.
dc.identifier.doi10.33904/ejfe.1188547
dc.identifier.endpage76
dc.identifier.issn2149-5637
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85165594728
dc.identifier.scopusqualityQ3
dc.identifier.startpage66
dc.identifier.trdizinid1151610
dc.identifier.urihttps://doi.org/10.33904/ejfe.1188547
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1151610
dc.identifier.urihttps://hdl.handle.net/11772/19007
dc.identifier.volume8
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.publisherForest Engineering and Technologies Platform
dc.relation.ispartofEuropean Journal of Forest Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.relation.sdgGoal-09: Industry Innovation And Infrastructure
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzScopus_20251016
dc.subjectErgonomic Risk Analysis
dc.subjectFurniture Factory
dc.subjectReba
dc.subjectUmed Ergonomics
dc.subjectWorking Postures
dc.titleComputer-Assisted Ergonomic Analysis of Working Postures Causing Strain
dc.title.alternativeComputer-Assisted Ergonomic Analysis of Working Postures Causing Strain
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublication5c514123-1af3-473c-bb7e-e407592706f0
relation.isAuthorOfPublication3ec69c07-6a11-460a-8910-f34daa5a6d79
relation.isAuthorOfPublication24fb5839-125b-4241-9106-db7266b40340
relation.isAuthorOfPublication.latestForDiscovery5c514123-1af3-473c-bb7e-e407592706f0

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