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Experiences in Modelling Statistical Process Control Knowledge

Identifieur interne : 00C686 ( Main/Merge ); précédent : 00C685; suivant : 00C687

Experiences in Modelling Statistical Process Control Knowledge

Auteurs : N. Glaser ; M.-C. Haton

Source :

RBID : CRIN:glaser96a

English descriptors

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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CRIN:glaser96a

Le document en format XML

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<div type="abstract" xml:lang="en" wicri:score="1460">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.</div>
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{{Explor lien
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   |clé=     CRIN:glaser96a
   |texte=   Experiences in Modelling Statistical Process Control Knowledge
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