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A fuzzy logic approach to posture-based ergonomic analysis for field observation and assessment of construction manual operations

Title
A fuzzy logic approach to posture-based ergonomic analysis for field observation and assessment of construction manual operations
Author
한상욱
Keywords
ergonomic assessment; fuzzy logic; RULA; worker safety; work-related musculoskeletal disorder
Issue Date
2016-01
Publisher
CANADIAN SCIENCE PUBLISHING
Citation
CANADIAN JOURNAL OF CIVIL ENGINEERING, v. 43, NO 4, Page. 294-303
Abstract
In construction, workers are frequently exposed to ergonomic risks that can lead to musculoskeletal disorders. To prevent ergonomic injuries, proper assessment of ergonomic risk is a key to identifying risk factors and modifying work practice in a timely manner. In field observation, however, difficulties in visually estimating human postures (e.g., body joint angles) required for ergonomic analysis have led to inconsistent results due to the subjectiveness of observers. This study thus proposes a fuzzy logic approach to posture-based ergonomic evaluation tools. Rapid Upper Limb Assessment (RULA) is selected as a case study to describe the fuzzy logic modelling of RULA scoring systems and discuss the application to modular construction shops. The results of validation comparing correlations with biomechanical analysis - used as a ground truth - reveal that the proposed system produces more accurate results than traditional methods and hence helps minimize human errors in observation for reliable on-site ergonomic assessment.
URI
http://www.nrcresearchpress.com/doi/10.1139/cjce-2015-0143#.WgERKmi0Pcshttp://hdl.handle.net/20.500.11754/30561
ISSN
0315-1468; 1208-6029
DOI
10.1139/cjce-2015-0143
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > CIVIL AND ENVIRONMENTAL ENGINEERING(건설환경공학과) > Articles
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