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The Mixed CUSUM-EWMA (MCE) control chart as a new alternative in the monitoring of a manufacturing process

2019-01-21Journal article Restricted access
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datacite.subject.sdg04:Educação de Qualidadept_PT
datacite.subject.sdg12:Produção e Consumo Sustentáveispt_PT
dc.contributor.authorOliveira, Amilcar
dc.contributor.authorOliveira, Teresa A.
dc.contributor.authorPaladini, Edson Pacheco
dc.contributor.authorWalter, Olga Maria Formigoni Carvalho
dc.contributor.authorHenning, Elisa
dc.contributor.authorKonrath, Andréa Cristina
dc.contributor.authorAlves, Custodio da Cunha
dc.date.accessioned2023-01-03T11:41:48Z
dc.date.available2023-01-03T11:41:48Z
dc.date.issued2019-01-21
dc.description.abstractGoal: The objective is to conclude, based on a comparative study, if there is a significant difference in sensitivity between the application of MCE and the individual application of the CUSUM or EWMA chart, i.e., greater sensitivity particularly for cases of lesser magnitude of change. Design/Methodology/Approach: These are an applied research and statistical techniques such as statistical control charts are used for monitoring variability. Results: The results show that the MCE chart signals a process out of statistical control, while individual EWMA and CUSUM charts does not detect any situation out of statistical control for the data analyzed. Limitations: This article is dedicated to measurable variables and individual analysis of quality characteristics, without investing in attribute variables. The MCE chart was applied to items that are essential to the productive process development being analysed. Practical Implications: The practical implications of this study can contribute to: the correct choice of more sensitive control charts to detect mainly small changes in the location (mean) of processes; provide clear and accurate information about the fundamental procedures for the implementation of statistical quality control; and encourage the use of this quality improvement tool. Originality/Value: The MCE control chart is a great differential for the improvement of the quality process of the studied company because it goes beyond what CUSUM and EWMA control charts can identify in terms of variability.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAlves, C. da C., Konrath, A. C., Henning, E., Walter, O. M. F. C., Paladini, E. P., Oliveira, T. A., & Oliveira, A. (2019). The Mixed CUSUM-EWMA (MCE) control chart as a new alternative in the monitoring of a manufacturing process. Brazilian Journal of Operations & Production Management, 16(1), 1–13. https://doi.org/10.14488/BJOPM.2019.v16.n1.a1pt_PT
dc.identifier.doi10.14488/BJOPM.2019.v16.n1.a1pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.2/12916
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherBrazilian Journal of Operations & Production Managementpt_PT
dc.relation.publisherversionhttps://bjopm.org.br/bjopm/article/view/473pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectProcess monitoringpt_PT
dc.subjectControl chartpt_PT
dc.subjectMixed CUSUM-EWMA chartpt_PT
dc.titleThe Mixed CUSUM-EWMA (MCE) control chart as a new alternative in the monitoring of a manufacturing processpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage13pt_PT
oaire.citation.issue1pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleBrazilian Journal of Operations & Production Managementpt_PT
oaire.citation.volume16pt_PT
person.familyNameOliveira
person.familyNameOliveira
person.givenNameAmilcar
person.givenNameTeresa Azinheira
person.identifier1155497
person.identifier.ciencia-id7110-61B4-B87F
person.identifier.ciencia-id8814-A54B-12DE
person.identifier.orcid0000-0001-5500-7742
person.identifier.orcid0000-0003-3283-9946
person.identifier.ridJ-3077-2019
person.identifier.scopus-author-id55675222550
person.identifier.scopus-author-id54403540300
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication1c873476-22fd-4331-8286-ff5576ac3b0c
relation.isAuthorOfPublication82b3cd70-88cc-4d31-b4b0-4705f8496c67
relation.isAuthorOfPublication.latestForDiscovery82b3cd70-88cc-4d31-b4b0-4705f8496c67

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