Abstract
The flow path design is the determination of the direction of each segment and the paths that will be used by vehicles in production units. It is necessary to ensure that all pick up and delivery point can be reached from any other point. The organization of these roads directly influences the performance of the system. For example, the time of transport depends on, as the number of necessary vehicle. That is why this problem is one of the most important issues in designing an AGV (automated guided vehicles) system. This work deals with flow path design problem for a conventional unidirectional network. An efficient optimization method based on genetic algorithm is developed in order to solve the case of minimizing the total travel distance considering both loaded and empty travels. This study is made in collaboration with ANDRA (National Agency for Radioactive Waste Management) To ensure the efficiency of the proposed optimization method, computational experiments are carried out.
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