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Autonomous control means the decentralized coordination of intelligent logistic objects and the routing through a logistic system by the intelligent parts themselves. This paper shows the application of a pheromone-based autonomous control method to a matrix model of a shop floor and compares the performance to an earlier developed method in different dynamic demand situations. The discrete event simulations are analysed by comparing statistics on throughput time data resulting from the system's behaviour in dynamic order arrival situations.

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To cope with increasing internal and external dynamics of production networks, a decentralized and flexible autonomous control approach seems to be promising. This paper presents a dynamic model of a production network with geographically dispersed facilities and fixed transport schedules. It investigates the influence of local autonomous control methods on integrated production and transport processes and shows that the application of autonomous control may improve the handling of internal and external dynamics.