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Implementation of statistical process control in a bottling line in winery industry

2018-09-27Journal article Restricted access
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dc.contributor.authorAbreu, António
dc.contributor.authorRequeijo, José
dc.contributor.authorCalado, João Manuel Ferreira
dc.date.accessioned2018-10-08T10:05:02Z
dc.date.available2018-10-08T10:05:02Z
dc.date.issued2018-09-27
dc.description.abstractIntroduction: The great demand of the markets has led to situations in which the production systems are characterized by the production of several batches but of small size. This new paradigm requires that adequate techniques be developed, both in terms of planning and in terms of Statistical Process Control (SPC), since there may be situations where it is not possible to collect enough data to properly estimate the parameters of the process (mean and variance). Objectives: Implementation of Statistical Process Control techniques in a wine industry in order to improve its final product. Methods: Whenever there is not enough data to properly estimate the parameters of the process, the suggested approach, is to adopt the developments proposed by Charles Quesenberry. In this case, the statistic of the sample at time i is transformed through the estimations of the process parameters using the information obtained (data) until the instant (i-1). The univariate study of process capability is performed through the capability indices QL and QU. Thus, in this paper, two situations of statistical control are addressed, one in which a univariate study is done, based on Q charts, and another in which the multivariate study is made, based on the MQ charts. Results: This study comprised the implementation of the SPC) of a wine brand that has low production volumes, in the process of bottling wine, which is considered a critical step since some care is needed, such as avoiding the occurrence of microbiological contaminations or oxidation of the wine. Conclusions: Whenever it is not possible to apply traditional control charts the use of the control Q charts (univariate analysis) and the control MQ charts (multivariate analysis) are the most appropriate choice not only for the control of one or more products but also for several sets of quality characteristics.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationABREU, António; REQUEIJO, José Gomes; CALADO, João – Implementation of statistical process control in a bottling line in winery industry. Millenium – Journal of Education, Technologies and Health. ISSN 1647-662X. Serie 2, N,º 7 (2018), pp. 23-37pt_PT
dc.identifier.doihttps://doi.org/10.29352/mill0207.02.00180pt_PT
dc.identifier.issn1647-662X
dc.identifier.urihttp://hdl.handle.net/10400.21/8894
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherCI&DETS (Instituto Politécnico de Viseu)pt_PT
dc.subjectStatistical process controlpt_PT
dc.subjectControl chartspt_PT
dc.subjectMQ control chartspt_PT
dc.subjectShort-runspt_PT
dc.subjectProcess capabilitypt_PT
dc.titleImplementation of statistical process control in a bottling line in winery industrypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage37pt_PT
oaire.citation.issue7pt_PT
oaire.citation.startPage23pt_PT
oaire.citation.titleMillenium – Journal of Education, Technologies and Healthpt_PT
oaire.citation.volume2pt_PT
person.familyNameAbreu
person.familyNameRequeijo
person.familyNameCalado
person.givenNameAntónio
person.givenNameJosé
person.givenNameJoão
person.identifier1829666
person.identifier370725
person.identifier.ciencia-idF51F-F42E-3D57
person.identifier.ciencia-id671C-97F9-0A3B
person.identifier.ciencia-idB518-93E3-E7AB
person.identifier.orcid0000-0001-8839-5606
person.identifier.orcid0000-0002-2618-4165
person.identifier.orcid0000-0001-6628-4657
person.identifier.ridD-3964-2014
person.identifier.ridM-4167-2013
person.identifier.scopus-author-id57218315486
person.identifier.scopus-author-id25029602600
person.identifier.scopus-author-id7006897277
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication2e303e99-df37-4381-bf3c-0ab7fc69703c
relation.isAuthorOfPublication1f9a5b7b-df27-4d1f-a4ca-0a00726ee4cd
relation.isAuthorOfPublication602b1546-f4f1-4cd5-8d29-d835d54c9bd6
relation.isAuthorOfPublication.latestForDiscovery2e303e99-df37-4381-bf3c-0ab7fc69703c

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