Experimental Investigation and Formulation of Model of Deburring Process of Mat Manufacturing

The aim of the work was to increase the productivity of workers. The various independent parameters like BMI, Buttock-Knee length, Popliteal Height, Seat base height, back rest support height, and room temperature during deburring process of mat was investigated and also finds out influence parameter on productivity of worker. Considering these parameters the two important aspects to be considered are productivity of human workers along with the comforts to the workers. We would like to find out which parameter is most important for increasing the productivity. The focus of this paper is to develop a Multivariable Linear Regression and Artificial Neural Network models which will predict the experimental evidences accurately. It was observed that the ANN model predict the productivity with correlation coefficient (R) 0.9412. The prediction Mean Square Error was between the desired outputs as measured values and the simulated values were obtained as 0.5009 by the model.