The use of adaptivity and simulation in planning support systems
One of the largest problems a planner is facing, is the lack of insight in the effects of decisions on schedule efficiency. First results of these research projects show, that in comparison with manual planning, insight is increased when using simulation techniques to evaluate a schedule. The dynamic aspects of the schedule, like for instance the effects of stochastic influences, can be clarified using simulation output.
We expect that the adaptive components of the system will solve part of the other planning problems planning like changes in model parameters, in model structure, and in the requirements of management. Current research is focusing on gathering information on the effectiveness of both adaptation cycles in the scheduling support systems.
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- Bots, P.W.G., An Environment to Support Problem Solving, PhD Thesis, Delft University of Technology, the Netherlands, 1989.Google Scholar
- Jong, R. de, H.G. Sol, Vehicle Routing and Scheduling Support: Coping with Strict Time Windows. In: Proceedings ICIS 1990.Google Scholar
- Passino, K.M., P.J. Antsaklis, A System and Control Theoretic Perspective on Artificial Intelligence Planning Systems. In: Applied Artificial Intelligence 3, Hemisphere Publishing Corporation, 1989, pp. 1–32.Google Scholar
- Smith, S.F., M.S. Fox, P.S. Ow, Constructing and Maintaining Detailed Production Plans. In: AI Magazine, Vol. 7, No. 4, 1986, pp. 45–61.Google Scholar
- Verbraeck, A., Adaptive Production Planning Environments Using Decision Rules and Simulation. In: Proceedings of the First International Conference on Expert Planning Systems, Brighton, U.K., 27–29 June, 1990, IEE Conference Publication Number 322, London, 1990, pp. 147–151.Google Scholar