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2009
Conference Paper
Titel
Methods for analysis of the time aspect in the behavior of agent based material flow controls
Abstract
The novel material flow control concepts like Internet of Things combine the up-to-date auto-identification methods with the modern software technologies. The expected control systems exhibit distributed scalable and flexible structures of stand-alone control entities. The price for these advantages is a non-deterministic time behavior of the local controls. The present study is devoted to the analysis of decentralized material flow controls under time constraints. The study results in a new approach to deal with deterministic and non-deterministic time factors. The paper introduces the Real-Time Logistics Model for identification, description and unification of time factors in conveyor systems and their controls. The model is integrated in and used with self-developed emulation software. The interplay of the model, the emulator and the agent-based control is shown in a real world example.