MINIMIZING MUSCULOSKELETAL DISORDERS THROUGH FUZZIFIED NEURAL NETWORK APPROACH

In casting units, workers work under tough conditions to perform the desired task. These toughconditions normally give rise to various musculoskeletal disorders within the workers. These disordersemerge within the workers body due to repetitive lifting, differential lifting height, ambient conditionsetc. For the minimization of musculoskeletal disorders it is quite difficult to model with mathematicaldifference or differential equations. In this paper the minimization of musculoskeletal disorders problemhas been formulated using artificial neural networks model. But the existing neural network model hasvarious drawbacks like large training time, huge data requirement to train for a non linear complexmusculoskeletal disorders problem, the relatively large number of hidden nodes required etc. Hence, anattempt has been made to develop a non linear model using fuzzified neuron sub-models to overcome theabove mentioned problems. These models would have the capability of representing solutions forminimizing musculoskeletal disorders needed for workers working in the casting units