Abstract
The paper describes an implemented system designed to assist the sales departmentstaff in finding a configuration of industrial mixing-machines.
The process of configuration is split into two steps: First process engineering knowledge is used to characterize the mixing-machine by the kind of agitator and the number of revolutions taking into account the mixing task; in a second step all components of the mixing-machine are determined with regard to the laws of mechanics.
The configuration process is driven by a constraint propagation with integrated dependence control which can handle feedback loops. Since often parameters are needed before they can be computed, the configuration process has to contain feedback loops. These parameters have to be preestimated. Later on they will be checked and probably recomputed.
All main decisions in the process of configuration are taken by the user. The system supports the user by exploring alternatives and suggesting standardized and therefore cheap components. Right now the system is tested in the distribution department of the manufacturer and evaluated with respect to its usefulness for the daily work.
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References
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© 1992 Springer-Verlag Berlin Heidelberg
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Brinkop, A., Laudwein, N. (1992). Configuration of industrial mixing-machines — Development of a knowledge-based system. In: Belli, F., Radermacher, F.J. (eds) Industrial and Engineering Applications of Artificial Intelligence and Expert Systems. IEA/AIE 1992. Lecture Notes in Computer Science, vol 604. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0024995
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DOI: https://doi.org/10.1007/BFb0024995
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