A Mathematical Theory of Communication
A Mathematical Theory of Communication
Understanding Autonomous Cooperation & Control in Logistics: The Impact on Management, Information, Communication and Material Flow
Autonomy in production logistics: Identification, characterisation and application
Robotics and Computer-Integrated Manufacturing
Introduction of a hybrid control approach for automotive logistics
ROCOM'11/MUSP'11 Proceedings of the 11th WSEAS international conference on robotics, control and manufacturing technology, and 11th WSEAS international conference on Multimedia systems & signal processing
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Owing to the increasing complexity of today's logistic systems, new planning and control methods are necessary. Autonomously controlled processes are a possible solution to cope with these new requirements. In order to verify this thesis, the development of an evaluation system is necessary which measures the logistic objective achievement, the level of autonomous control and the level of complexity. The current paper presents adequate operationalization of the complexity in production systems. For this purpose a complexity cube is derived in order to characterize production systems regarding their level of complexity. The different types of complexity in this cube are represented by vectors which allow measurement and comparison of different types of complexity for different production systems. The application of the complexity cube is illustrated using an exemplary job shop manufacturing scenario.