The Application of Shewhart Cusum and Ewma Control Graphics on Machine Industry
dc.authorscopusid | 57208418773 | |
dc.authorscopusid | 25028068800 | |
dc.contributor.author | Demir, Y. | |
dc.contributor.author | Mirtagioğlu, H. | |
dc.date.accessioned | 2025-05-10T16:43:31Z | |
dc.date.available | 2025-05-10T16:43:31Z | |
dc.date.issued | 2016 | |
dc.department | T.C. Van Yüzüncü Yıl Üniversitesi | en_US |
dc.department-temp | Demir Y., Yüzüncü Yıl Üniversitesi, Van Meslek Yüksekokulu, Van, Turkey; Mirtagioğlu H., Yüzüncü Yıl Üniversitesi, Ziraat Fakültesi, Zootekni Bölümü, Van, Turkey | en_US |
dc.description.abstract | In this study, Shewhart (control charts for variable quantities), CUSUM (cumulative sum control charts), EWMA (exponential weighted moving average control charts) control graphics and data belonging to cable taken from Gebze Organized Industrial Zone is used with the purpose of determination of big or small drifts occurring in targeted average within the process. Respectively, by applying Shewhart, CUSUM and EWMA control graphics to the coordinated data set, information about the process has been obtained, temporary control limits have been determined, deviation from general average has been identified, and prospective predictions have been made for production process. In application result, 2 points in the mean control graphic and 1 point in range and standard deviation control graphics signaled to be “out of control” exceeding designated control limits. Considering 3σ deviation, having exceeded the control limits, 11 points in the CUSUM control graphic and also 1 point in the EWMA control graphic have shown that the process was “out of control” As a result, quality control graphics are being used in many different areas such as agricultural production process, food and machine industry and as using one of the following graphics; Shewhart, CUSUM and EWMA could be misleading in terms of giving an idea about the process, it could be suggested that it will be more proper if decisions are made based on two of above mentioned graphics at least. © 2016, Centenary University. All rights reserved. | en_US |
dc.identifier.endpage | 265 | en_US |
dc.identifier.issn | 1308-7576 | |
dc.identifier.issue | 2 | en_US |
dc.identifier.scopus | 2-s2.0-85011857395 | |
dc.identifier.scopusquality | Q3 | |
dc.identifier.startpage | 254 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.14720/200 | |
dc.identifier.volume | 26 | en_US |
dc.identifier.wosquality | N/A | |
dc.language.iso | tr | en_US |
dc.publisher | Centenary University | en_US |
dc.relation.ispartof | Yuzuncu Yil University Journal of Agricultural Sciences | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Control Charts | en_US |
dc.subject | Cusum | en_US |
dc.subject | Ewma | en_US |
dc.subject | Shewhart | en_US |
dc.subject | Statistical Quality Control | en_US |
dc.title | The Application of Shewhart Cusum and Ewma Control Graphics on Machine Industry | en_US |
dc.type | Article | en_US |