Experiences in Modelling Statistical Process Control Knowledge
Identifieur interne : 001C45 ( Crin/Corpus ); précédent : 001C44; suivant : 001C46Experiences in Modelling Statistical Process Control Knowledge
Auteurs : N. Glaser ; M.-C. HatonSource :
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Abstract
Statistical process control (SPC) is one of the key methods in modern process management to improve the quality of a manufacturing process. The implementation of this method requires expertise about the process for its monitoring, diagnosis and optimisation. We present in this paper our experience in developing a conceptual process model which represents human expertise about a manufacturing process. We demonstrate, first, how an initial model was obtained and successively refined, and second, how task and problem-solving knowledge was identified and represented by using predefined models from the COMMONKADS library.
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