Order Production - A Framework for Prediction of Parts Demand
This case outlines how Bayesian network technology can be applied to the task of parts demand prediction in relation to production. The case considers the application of Bayesian networks to predict the demand for parts when items, articles, or elements are produced based on customer requests rather than production in series. The problem domain used here is order based production of cars, but could be any other product produced on the basis of customer requests. The ability to efficiently predict the demand for parts is, for instance, useful for reducing storage, can lead to faster response and shorter production time.
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