Development of mathematical model and artificial neural network simulation to predict the performance of manual loading operation of underground mines

The paper illustrates the formulation of mathematical model for manual work such as loading operations at underground mines of manganese ore. The recent manual loading operation is having less production with large amount of human energy consumption. The variable responsible for the performance of manual loading operation has been identified to formulate the mathematical model. The indices of mathematical model indicate variables responsible for increasing the production and minimize human energy consumption. The field data based modeling has been achieved based on the field data for the three dependent π terms time, human energy and productivity. The validation of field data base model is not in close proximity due to the complex phenomenon involving non-linear kinematics, therefore it becomes necessary to formulate artificial neural network simulation of the observed data. Keywords: Manual loading, Mines, Ergonomic, Human energy, Productivity

Abstract licence: CC BY-NC

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