Abstract
A design for a robust, reactive, on-line, scheduler is presented. It makes a prediction of the effects of the schedule and tries to optimize the global plant performance within a constrained environment. It is able to deal with constraints on state variables. Next to routing and sequencing choices, it can also optimize real-valued control variables (e.g. batch sizes and throughputs). These two features make the scheduler is especially useful for mixed-batch/continuous plants. It adapts the schedule on-line (reactive) to handle disturbances and failures. Robustness analysis can be made for a schedule by which guaranteed non-failing schedules can be generated. The scheduling technique is model based and generically applicable to a wide class of plants. The model is built up of independent units which are represented by objects from a library.
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Figure 26 Screen dump of the plant modelling environment of the implementation in G2. The upper right window contains the basic equipment items from which the plant-type dependent unit-classes in the lower right window are built up. In the left window, a specific plant is being modelled by defining a topology between instances of the unit classes.
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© 1995 Springer Science+Business Media Dordrecht
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Terpstra, V.J., Verbruggen, H.B. (1995). Reactive Batch Scheduling. In: Tzafestas, S.G., Verbruggen, H.B. (eds) Artificial Intelligence in Industrial Decision Making, Control and Automation. Microprocessor-Based and Intelligent Systems Engineering, vol 14. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-0305-3_23
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DOI: https://doi.org/10.1007/978-94-011-0305-3_23
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