Int. J. Simul. Multidisci. Des. Optim.
Volume 11, 2020
|Number of page(s)||10|
|Published online||15 January 2020|
Posture prediction and optimization for a manual assembly operation involving lifting of weights
Department of Production Engineering, VSSUT, Burla 768018, Odisha, India
2 Department of Mechanical Engineering, CET, Bhubaneswar 751003, Odisha, India
* e-mail: email@example.com
Accepted: 2 December 2019
The present work combines ergonomics with the posture prediction in the assembly process to avoid musculoskeletal issues of human operator. For improved productivity the operator should be in a better work environment and in sound health. The purpose of this paper is to provide a different perspective to avoid ergonomic risk factors in manual assembly. Here, a human is modeled as 20-DOF as modeled in robotic analysis and simulated in a virtual environment. In the present study, two objective cost functions i.e. joint discomfort function and energy expenditure function have been employed for evaluating the optimized posture. For posture prediction, a combined multi-objective optimization (MOO) method is used and the objective cost functions are minimized i.e. less joint discomfort and less energy in MOO method required to do the manual assembly operation and consequently, the results are compared and finally the movements are tested using REBA technique.
Key words: Ergonomics / posture prediction / joint discomfort function / energy function / MOO / REBA
© B. Rout et al., published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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