Simulating Complex Automotive Assembly Tasks using the HUMOSIM Framework

2009 ◽  
Author(s):  
Wei Zhou ◽  
Thomas J. Armstrong ◽  
Matthew P. Reed ◽  
Suzanne G. Hoffman ◽  
Diana M. Wegner
Keyword(s):  
Automotive Assembly ◽  
Assembly Tasks

Ergonomic assessment of automotive assembly tasks with digital human modelling and the 'ergonomics assessment worksheet' (EAWS)

2012 ◽  
Vol 3 (3/4) ◽  
pp. 398 ◽  
Author(s):  
Karlheinz G. Schaub ◽  
Jens Mühlstedt ◽  
Benjamin Illmann ◽  
Sebastian Bauer ◽  
Lars Fritzsche ◽  
...  
Keyword(s):  
Human Modelling ◽  
Automotive Assembly ◽  
Digital Human ◽  
Assembly Tasks

An Estimation of Supporting Hand Forces for Common Automotive Assembly Tasks

2008 ◽  
Author(s):  
Christina Godin ◽  
Joshua Cashaback ◽  
Joel Cort ◽  
Jim Potvin ◽  
Allison Stephens
Keyword(s):  
Automotive Assembly ◽  
Assembly Tasks ◽  
Hand Forces

Prediction of Supporting Hand Forces for Common Automotive Assembly Tasks Based on Optimization and Stability Techniques for Given Posture

2012 ◽  
Author(s):  
Bradley Howard ◽  
Jingzhou (James) Yang ◽  
Guolai Yang
Keyword(s):  
Three Dimensional ◽  
Joint Torque ◽  
Predictive Tool ◽  
Work Tasks ◽  
Automotive Assembly ◽  
Zero Moment ◽  
External Forces ◽  
Electrical Components ◽  
Assembly Tasks ◽  
Hand Forces

Quite often people are faced with one handed tasks in which the other hand is needed for support. Without these supporting external forces, postures may be unstable, rendering the task impossible. Automotive assembly line operators are confronted with these types of tasks every day, such as hose installations and the connection of electrical components. Determining the optimal location and forces for the supporting hand is important to minimize potential injuries of operators. Traditionally, these supporting hand forces are measured by experiments. This work attempts to provide an important predictive tool that promises to be of considerable value to companies in predicting leaning forces in work simulation for the proactive ergonomic assessment of work tasks. It presents a method using optimization and stability analysis techniques. Stability is based on the calculation of a three dimensional zero moment point (3D-ZMP) and the resultant reaction loads, calculated from the joint torque. The formulation of the optimization problem used to predict the supporting hand forces is presented and tested using tasks commonly encountered by automotive assembly workers. The results are compared to that in literature, providing an initial validation of the methods. The predicted external forces fell within the 95% confidence intervals calculated from the literature for all tasks.

Strategies for using instructions in assembly tasks

2007 ◽  
Author(s):  
Elsa Eiriksdottir ◽  
Richard Catrambone
Keyword(s):  
Assembly Tasks

scholarly journals Workplace Adaptive Technologies for Working Adults With Cognitive and Physical Disabilities

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 861-861
Author(s):  
Patricia Heyn
Keyword(s):  
Physical Disabilities ◽  
Cognitive Impairments ◽  
Work Productivity ◽  
Mobile Technologies ◽  
Individuals With Disabilities ◽  
Technology System ◽  
Working Adults ◽  
Assembly Performance ◽  
Adaptive Technologies ◽  
Assembly Tasks

Abstract Individuals with disabilities usually have difficulty in finding and maintaining employment prospects and thus, they are extremely underrepresented in the workforce. These challenges are even greater when the person has both cognitive and physical disabilities. While there is evidence supporting the benefits of employing individuals with disabilities in the workforce, employers are usually unprepared to hire individuals with disabilities. They are also concerned that the work productivity may be impacted by the employee with a disability. Thus, technology can play an important role in helping a person with cognitive and /or physical impairment work on tasks that require memorization and assembly performance. We will present a mobile technology system that was planned and piloted with working adults with physical and cognitive impairments. Founded on our pilot study, mobile technologies hold the potential to help people with disabilities to perform jobs that require memorization as well as systematic assembly tasks.

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