Ergonomic risk assessment in DHM tools employing motion data - exposure calculation and comparison to epidemiological reference data
Artikel i vetenskaplig tidskrift, 2018
Digital human modelling (DHM) allows ergonomic risk assessment to be performed at early stages of design and development. Such assessment is
typically based on observational methods, which do not take advantage of the potential of DHM tools to provide precise posture and motion data. This paper describes and illustrates an alternative assessment approach employing DHM tools, inspired by risk assessment based on direct measurements. A literature survey established a reference database of epidemiological associations between exposure and wrist-related disorders. This approach is illustrated by a DHM simulation of a car assembly task. Wrist posture and motion were simulated and compared to the database, predicting the prevalence of work-related musculoskeletal disorders on the basis of direct measurements.
typically based on observational methods, which do not take advantage of the potential of DHM tools to provide precise posture and motion data. This paper describes and illustrates an alternative assessment approach employing DHM tools, inspired by risk assessment based on direct measurements. A literature survey established a reference database of epidemiological associations between exposure and wrist-related disorders. This approach is illustrated by a DHM simulation of a car assembly task. Wrist posture and motion were simulated and compared to the database, predicting the prevalence of work-related musculoskeletal disorders on the basis of direct measurements.
work-related musculoskeletal disorders
wrist
digital human modelling
direct measurements
exposure-response relationship
repetitive strain injuries
physical workload
risk assessment
biomechanical load
Författare
Ida-Märta Rhen
Chalmers, Industri- och materialvetenskap, Produktionssystem
Mikael Forsman
Karolinska Institutet
Roland Örtengren
Chalmers, Industri- och materialvetenskap, Produktionssystem
Dan Högberg
Högskolan i Skövde
Ali Keyvani
Virtual Manufacturing Sweden AB
Dan Lämkull
Volvo Cars
Lars Hanson
Högskolan i Skövde
Scania CV AB
Chalmers, Industri- och materialvetenskap, Produktionssystem
International Journal of Human Factors Modelling and Simulation
Vol. 6 1
Ämneskategorier
Produktionsteknik, arbetsvetenskap och ergonomi
Miljömedicin och yrkesmedicin
DOI
10.1504/IJHFMS.2018.091356