Modeling Experience Using Multivariate Statistics
In an environment where dynamic planning over a rolling horizon together with system monitoring is required, such as in a production environment where lots are released on a frequent basis, an intelligent computer support system may be of particular value if it is capable of (a) recognizing the occurrence of unusual states of the shop floor, such as congestion at bottlenecks, and (b) evaluating the relative desirability of two or more possible courses of action of time. Experience equips humans with those capabilities. This paper describes how we use a multivariate statistical approach for mechanizing experience in a hybrid OR/AI shop floor planning and control system.
KeywordsControl Chart Transition Matrice Shop Floor Statistical Quality Control Rolling Horizon
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