| dc.contributor.author | Erginel, Nihal | |
| dc.contributor.author | Toptanci, S. | |
| dc.date.accessioned | 2019-10-21T20:41:51Z | |
| dc.date.available | 2019-10-21T20:41:51Z | |
| dc.date.issued | 2019 | |
| dc.identifier.isbn | 9783319939995 | |
| dc.identifier.issn | 2194-5357 | |
| dc.identifier.uri | https://dx.doi.org/10.1007/978-3-319-94000-7_3 | |
| dc.identifier.uri | https://hdl.handle.net/11421/20899 | |
| dc.description | AHFE 2018 International Conference on Social and Occupational Ergonomics, 2018 -- 21 July 2018 through 25 July 2018 -- -- 214999 | en_US |
| dc.description.abstract | Work-related musculoskeletal disorders (WMSDs) are a major health problem. Many methods have been developed for assessing the risk level of work for WMSDs. Rapid Entire Body Assessment (REBA) method is one of the most commonly used observational tools for analyzing working postures and evaluating the risk levels of work. In the conventional REBA method, the angles, optional motions, load/force, load grip and activity states of the work postures are determined according to the scores by the experts. Uncertainty arises, if the experts do not have sufficient experience, they cannot determine the angular and other characteristics of the working postures certainly and subjective opinions exist in the assessment process. These uncertainties can be handled using fuzzy numbers. In this study, Intuitionistic Fuzzy REBA method has been developed to assess the risk of a working posture in a manufacturing company. Then, ergonomic improvements are addressed to minimize the risk | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Springer Verlag | en_US |
| dc.relation.isversionof | 10.1007/978-3-319-94000-7_3 | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Intuitionistic Fuzzy | en_US |
| dc.subject | Manufacturing Company | en_US |
| dc.subject | Reba Method | en_US |
| dc.subject | Work-Related Musculoskeletal Disorders | en_US |
| dc.subject | Working Postures | en_US |
| dc.title | Intuitionistic fuzzy REBA method and its application in a manufacturing company | en_US |
| dc.type | conferenceObject | en_US |
| dc.relation.journal | Advances in Intelligent Systems and Computing | en_US |
| dc.contributor.department | Anadolu Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü | en_US |
| dc.identifier.volume | 792 | en_US |
| dc.identifier.startpage | 27 | en_US |
| dc.identifier.endpage | 35 | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US] |
| dc.contributor.institutionauthor | Erginel, Nihal | |
