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Monitoring capability indices using run rules
University of the Aegean, Samos.
Athens University of Economics and Business.
Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Matematiska vetenskaper.
2009 (engelsk)Inngår i: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 15, nr 4, s. 358-370Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

PurposeThe purpose of this paper is propose a methodology for monitoring industrial processes that cannot be stabilized, but are nevertheless capable. Design/methodology/approach The proposed procedure uses the C P (u,v) family of capability indices proposed by Vännman (including the indices C PK , C PM , C PMK ) combined with one-sided two-out-of-three and three-out-of-four run rules strategies. FindingsThis paper introduces a new strategy, where capability indices are monitored in place of the classical sample statistics like the mean, median, standard deviation or range. Practical implicationsWhen doing a capability analysis it is recommended to first check that the process is stable, e.g. by using control charts. However, there are occasions when a process cannot be stabilized, but is nevertheless capable. Then the classical control charts fail to efficiently monitor the process position and variability. The approach suggested in this paper overcomes this problem. Originality/valueThe experimental results presented in this paper demonstrate how the new proposed approach efficiently monitors capable processes by detecting decreases or increases of capability level.

sted, utgiver, år, opplag, sider
2009. Vol. 15, nr 4, s. 358-370
HSV kategori
Forskningsprogram
Matematisk statistik inriktning industriell statistik
Identifikatorer
URN: urn:nbn:se:ltu:diva-7878DOI: 10.1108/13552510910997733Lokal ID: 64d993f0-ceca-11de-b769-000ea68e967bOAI: oai:DiVA.org:ltu-7878DiVA, id: diva2:980768
Merknad
Validerad; 2009; 20091111 (ysko)Tilgjengelig fra: 2016-09-29 Laget: 2016-09-29 Sist oppdatert: 2017-11-24bibliografisk kontrollert

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Castagliola, PhilippeVännman, Kerstin

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