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Statistical process control for a limited amount of data

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dc.contributor.authorRequeijo, José
dc.contributor.authorAbreu, António
dc.contributor.authorMatos, Ana Sofia
dc.date.accessioned2020-05-26T14:35:19Z
dc.date.available2020-05-26T14:35:19Z
dc.date.issued2014
dc.description.abstractSome production systems control many quality characteristics with a restricted amount of data, not allowing a convenient estimation of the process parameters (mean and variance), thereby creating a difficulty in implementing the traditional Statistical Process Control (SPC). In order to address this question, the approach suggested is to adopt the developments proposed by by Charles Quesenberry, which consists in the statistics sample transformation at time i. This transformation is based on a parameter estimation at time (i – 1). This paper addresses two situations, the univariate and multivariate SPC, with the use of Q dimensionless statistics. Both univariate (Q) and multivariate (MQ) statistics are distributed according to standard Normal distribution. It is also suggested the application of new capability indices QL and QU to study the univariate process capability, which are represented in the mean Q control chart to evaluate in real time the performance of the various processes and predict the possibility of production of nonconforming product, which will increase customer satisfaction. The methodology is applicable to different production systems, both for industry and services. Based on a methodology developed, a case study is presented and discussed.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationREQUEIJO, José Gomes; ABREU, António; MATOS, Ana Sofia – Statistical process control for a limited amount of data. In ICORES 2014 – 3rd International Conference on Operations Research and Enterprise Systems. Angers, Loire Valley, France: SCITEPRESS, 2014. Vol. 1, pp. 190-195pt_PT
dc.identifier.doi10.5220/0004812101900195pt_PT
dc.identifier.isbn978-989-758-017-8
dc.identifier.urihttp://hdl.handle.net/10400.21/11719
dc.language.isoengpt_PT
dc.publisherSCITEPRESSpt_PT
dc.subjectSPC (Statistical Process Control)pt_PT
dc.subjectQ Control Chartspt_PT
dc.subjectMQ Control Chartspt_PT
dc.subjectProcess Capabilitypt_PT
dc.titleStatistical process control for a limited amount of datapt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlace6-8 March, 2014 - ESEO, Angers, Loire Valley, Francept_PT
oaire.citation.endPage195pt_PT
oaire.citation.startPage190pt_PT
oaire.citation.titleICORES 2014 – 3rd International Conference on Operations Research and Enterprise Systemspt_PT
oaire.citation.volume1
person.familyNameRequeijo
person.familyNameAbreu
person.givenNameJosé
person.givenNameAntónio
person.identifier1829666
person.identifier.ciencia-id671C-97F9-0A3B
person.identifier.ciencia-idF51F-F42E-3D57
person.identifier.orcid0000-0002-2618-4165
person.identifier.orcid0000-0001-8839-5606
person.identifier.ridD-3964-2014
person.identifier.scopus-author-id25029602600
person.identifier.scopus-author-id57218315486
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication1f9a5b7b-df27-4d1f-a4ca-0a00726ee4cd
relation.isAuthorOfPublication2e303e99-df37-4381-bf3c-0ab7fc69703c
relation.isAuthorOfPublication.latestForDiscovery2e303e99-df37-4381-bf3c-0ab7fc69703c

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