Minimizing Musculoskeletal Disorders Through Fuzzified Neural Network Approach

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