Abstract

In this work a typical planning of movement of limbs and torso of the worker to be well design to reduce fatigue and energy of the worker. A simulation model is generated to suit the procedure and comply with the constraints in the workspace. It requires verifying the capability of human postures and movements in different working conditions for the evaluation of effectiveness of the new design. In this article a simple human performance measure is introduce that enable the mathematical model for evaluation of a cost function. The basic scheme is to evaluate the performance in the form of several cost factors using AI techniques. Here two main cost factors taken in to consideration are discomfort factor and effort factor in limb movements. Discomfort factor measures the level of discomfort from the most neutral position of a given limb to the position of the corresponding limb after movement and effort factor is a measure of the displacement of the corresponding limbs from the original position. The basic aim is to optimize the movement of the limbs with the above mentioned cost functions. The effectiveness of the procedure is tested with an example of working procedure of workers used for stacking of fly ash bricks in a local fly ash bricks manufacturing unit. The objective is to find out the optimised movement of the limbs to reduce discomfort level and effort required of workers. The effectiveness of the procedure in this case study illustrated with the obtained results.

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