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dc.contributor.authorde-Felipe, David
dc.contributor.authorBenedito Benet, Ernest
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Organització d'Empreses
dc.date.accessioned2018-07-23T08:14:39Z
dc.date.available2018-07-23T08:14:39Z
dc.date.issued2017-09
dc.identifier.citationde-Felipe, D., Benedito, E. A review of univariate and multivariate process capability indices. "International journal of advanced manufacturing technology", Setembre 2017, vol. 92, núm. 5-8, p. 1687-1705.
dc.identifier.issn0268-3768
dc.identifier.urihttp://hdl.handle.net/2117/119718
dc.description.abstractThis paper offers a review of univariate and multivariate process capability indices (PCIs). PCIs are statistic indicators widely used in the industry to quantify the capability of production processes by relating the variability of the measures of the product characteristics with the admissible one. Univariate PCIs involve single-product characteristics while multivariate PCIs deal with the multivariate case. When analyzing the capability of processes, decision makers of the industry may choose one PCI among all the PCIs existing in the literature depending on different criteria. In this article, we describe, cluster, and discuss univariate and multivariate PCIs. To cluster the PCIs, we identify three classes of characteristics: in the first class, the characteristics related to the information of the process data input are included; the second class includes characteristics related to the approach used to calculate the PCIs; and in the third class, we find characteristics related to the information that the PCIs give. We discuss the strengths and weaknesses of each PCI using four criteria: calculation complexity, globality of the index, relation to proportion of nonconforming parts, and robustness of the index. Finally, we propose a framework that may help practitioners and decision makers of the industry to select PCIs.
dc.format.extent19 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.lcshQuality control
dc.subject.lcshManufacturing processes
dc.subject.otherProcess capability indices
dc.subject.otherQuality control
dc.subject.otherProcess monitoring Product reliability
dc.titleA review of univariate and multivariate process capability indices
dc.typeArticle
dc.subject.lemacLogística (Indústria)
dc.subject.lemacControl de qualitat
dc.contributor.groupUniversitat Politècnica de Catalunya. SCOM - Supply Chain and Operations Management
dc.identifier.doi10.1007/s00170-017-0273-6
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://link.springer.com/journal/170
dc.rights.accessOpen Access
local.identifier.drac21476611
dc.description.versionPostprint (author's final draft)
local.citation.authorde-Felipe, D.; Benedito, E.
local.citation.publicationNameInternational journal of advanced manufacturing technology
local.citation.volume92
local.citation.number5-8
local.citation.startingPage1687
local.citation.endingPage1705


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Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain