Goals of this thesis have been the development of innovative methods for the efficient application of information technology tools to beverage filling plants. Based on a new defined interface for the vertical integration, new fundamental knowledge about the downtime behaviour of machines could be achieved. The resulting theoretical models have been transferred into modular components for the event discrete line simulation. With the help of an adaptive expert system a tool for the automated weak point analysis could be developed and implemented successfully in pilot scale. On this basis novel super ordinate control system for filling plants has been designed. As simulation studies showed, this system obtains an enhancement of the plant behaviour and an increase of the line efficiency up to 5 per cent by its knowledge based machine and conveyor speed control.
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Goals of this thesis have been the development of innovative methods for the efficient application of information technology tools to beverage filling plants. Based on a new defined interface for the vertical integration, new fundamental knowledge about the downtime behaviour of machines could be achieved. The resulting theoretical models have been transferred into modular components for the event discrete line simulation. With the help of an adaptive expert system a tool for the automated weak...
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