Open AccessOptimal Posture Prediction in Brick Stacking Operation for Reducing Ergonomic Risk Factor
Author(s) -
Biswaranjan Rout*,
R. R. Dash,
Debabrata Dhupal
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c4634.098319
Subject(s) - stacking , energy cost , simulation , energy expenditure , factor (programming language) , factor cost , risk analysis (engineering) , computer science , engineering , reliability engineering , automotive engineering , business , medicine , architectural engineering , physics , nuclear magnetic resonance , economics , macroeconomics , programming language , endocrinology
Ergonomic risk factors are vital for posture prediction of human, working in manual assembly is founded on the human movements at each joint to decrease energy level and fatigue level of the worker. In this study a simple measure of human performance is introduced that permits the mathematical model to assess the cost functions. Here human is modeled as a structure of 20 DOF. The necessary procedure is the evaluation of the performance in the system of cost factors. Here two main cost factors are considered as discomfort factor and energy expenditure rate in different limbs movement. The basic objective is to optimize the limb movements to the cost factors. The above procedure is verified through a example case of fly ash bricks plant. Here two workers are stacking bricks in stacking pan. A Multi Objective Optimization (MOO) technique is utilized for the prediction of posture, in which cost factors are minimalized, ultimately reduced level of ergonomic risk factor.