MODELING AND ANALYZING INTEGRATED AUTONOMOUSLY CONTROLLED PRODUCTION AND TRANSPORT PROCESSES

摘要

The efficient coordination of production and transport processes in large scale logistic networks is a challenging task. In respect of structural complexity most of the network related planning problems are NP-hard. Accordingly, optimal solutions can hardly be found. Moreover, these networks are exposed to dynamically changing factors, which additionally exacerbate planning and control of the logistic processes. In this context decentralized control approaches support the planning and coordination of network spanning logistic processes. This paper presents two decentralized autonomous control approaches, which address integrated transport and production processes. These approaches are evaluated in different simulation experiments in an exemplarily production network scenario. It will be shown that both autonomous control methods are suitable for different dynamic situations.