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Détail de l'auteur
Auteur Quinino, R.
Documents disponibles écrits par cet auteur
Affiner la rechercheVariable interval sampling in economical designs for online process control of attributes with misclassification errors / Bessegato, L. in Journal of the operational research society (JORS), Vol. 62 N° 7 (Juillet 2011)
[article]
in Journal of the operational research society (JORS) > Vol. 62 N° 7 (Juillet 2011) . - pp. 1365–1375
Titre : Variable interval sampling in economical designs for online process control of attributes with misclassification errors Type de document : texte imprimé Auteurs : Bessegato, L., Auteur ; Quinino, R., Auteur ; Ho, L. L., Auteur Année de publication : 2011 Article en page(s) : pp. 1365–1375 Note générale : Recherche opérationnelle Langues : Anglais (eng) Mots-clés : Quality control Online process control for attributes Economical design Misclassification errors Markov chain Variable inspection interval Index. décimale : 001.424 Résumé : Online process control consists of inspecting a single item at every mth items produced, where m is an integer greater than two. Based on the results of the inspection, one decides if the process is in-control (the fraction of conforming item is p1—state I) or out-of-control (the fraction of conforming item is p2—state II). If the inspected item is non-conforming, the process is designated as out-of-control and production is stopped for possible adjustment; otherwise, production goes on. In this paper, a contribution to online process control is presented, where the inspection system is considered to be subject to classification errors. After every adjustment, the sampling interval is L units (Lgreater than or equal tom), and in the case of non-adjustment, the sampling interval is m units. The expression for the average cost per produced item is calculated, and optimum parameters (the sampling intervals L and m) are obtained by a direct search. The procedure is illustrated by a numerical example. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v62/n7/abs/jors201079a.html [article] Variable interval sampling in economical designs for online process control of attributes with misclassification errors [texte imprimé] / Bessegato, L., Auteur ; Quinino, R., Auteur ; Ho, L. L., Auteur . - 2011 . - pp. 1365–1375.
Recherche opérationnelle
Langues : Anglais (eng)
in Journal of the operational research society (JORS) > Vol. 62 N° 7 (Juillet 2011) . - pp. 1365–1375
Mots-clés : Quality control Online process control for attributes Economical design Misclassification errors Markov chain Variable inspection interval Index. décimale : 001.424 Résumé : Online process control consists of inspecting a single item at every mth items produced, where m is an integer greater than two. Based on the results of the inspection, one decides if the process is in-control (the fraction of conforming item is p1—state I) or out-of-control (the fraction of conforming item is p2—state II). If the inspected item is non-conforming, the process is designated as out-of-control and production is stopped for possible adjustment; otherwise, production goes on. In this paper, a contribution to online process control is presented, where the inspection system is considered to be subject to classification errors. After every adjustment, the sampling interval is L units (Lgreater than or equal tom), and in the case of non-adjustment, the sampling interval is m units. The expression for the average cost per produced item is calculated, and optimum parameters (the sampling intervals L and m) are obtained by a direct search. The procedure is illustrated by a numerical example. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v62/n7/abs/jors201079a.html