الفهرس 
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Abstract
Robotic cells are considered one of the strong options to increase productivity as robots have the capability of performing repetitive actions with high speed and accuracy. One of the difficulties related to robotic cells is selecting the optimum robot cycle and jobs sequencing.
Most of work was directed to robot moves scheduling and parts sequencing of two and three machines robotic cells. In this work four-machine robotic cell producing identical and different part types is studied opting minimize the cycle time.
A genetic algorithm was developed to solve the problem. The results of the developed genetic algorithm are compared with the optimal solution as obtained from a full enumeration of all possible cycles. The results showed that the developed genetic algorithm could solve the scheduling problem of four machines robotic cell reaching the optimal solution for most of the tested problems.