The development of a solution procedure and interactive system for scheduling subsystems and payloads/experiments for the National Aeronautics and Space Administration's space station program is presented in this paper. Traditional scheduling problems are static in nature (i.e. a schedule is developed and adhered to) and have one or more clearly defined objectives (e.g. minimize overall completion time, maximize resource utilization, etc.). As such these problems are most commonly solved via application of optimal seeking algorithms, heuristics or simulation analysis. The payload scheduling problem, in contrast, is highly dynamic in nature. Not only may the various parameters change at any time but the objectives themselves may change also. As will be illustrated in this paper the nature of this class of problems is such that they can be most effectively solved by knowledge based expert systems.
An expert system for dynamic scheduling
Ein Expertensystem fuer dynamische Auslastungsplanung
1986
6 Seiten, 2 Bilder, 1 Tabelle
Conference paper
English
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