Effective Work Procedure design Using Discomfort and Effort Factor in Brick stacking operation-A case study

Rout, Biswaranjan; Dash, Rati Ranjan; Dhupal, Debabrata

doi:10.1088/1757-899x/310/1/012020

Cited by 3 publications

(1 citation statement)

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“…Various researchers have employed methods which include experimental, statistical, and analytical approach in posture prediction of human with various degrees of freedom [3][4][5][6][7][8][9][10][11][12][13] for modeling. Inverse dynamics [3] and image processing tools [4] are also used by various researchers to predict posture and optimization using GA [9][10][11], ANN [15], MOO [16][17][18][19][20][21][22][23] to attain the posture prediction of human.…”

Section: Introductionmentioning

confidence: 99%

Posture prediction and optimization for a manual assembly operation involving lifting of weights

Rout

Dash

Dhupal

2020

Int. J. Simul. Multidisci. Des. Optim.

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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.

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