Schwachstellenanalyse in der Ferkelerzeugung mit Hilfe von Control-Charts
dc.contributor.author | Engler, J. | |
dc.contributor.author | Tölle, K.-H. | |
dc.contributor.author | Timm, H. H. | |
dc.contributor.author | Hohls, E. | |
dc.contributor.author | Krieter, J. | |
dc.contributor.editor | Schiefer, Gerhard | |
dc.contributor.editor | Wagner, Peter | |
dc.contributor.editor | Morgenstern, Marlies | |
dc.contributor.editor | Rickert, Ursula | |
dc.date.accessioned | 2019-10-15T12:24:20Z | |
dc.date.available | 2019-10-15T12:24:20Z | |
dc.date.issued | 2004 | |
dc.description.abstract | The aim of this study was to detect arising weak points in pig breeding early for starting counteractive measures. Control-Charts are an instrument for monitoring industrial manufacturing processes and for statistical quality management. Two kinds of these charts were analysed in this study, first the Exponentially Weighted Moving Average (EWMA)-Charts, and on the other hand the Cumulative Sum (CUSUM)-Charts. Both charts are very good tools for visualising arising weak points, with sensitivities between about 90% to 95%, error rates around 20% to 40%. The mean time until detection was from 4 to 7 weeks depending on the kind of implemented weak point. | de |
dc.identifier.isbn | 3-88579-378-4 | |
dc.identifier.pissn | 1617-5468 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/29032 | |
dc.language.iso | de | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | Integration und Datensicherheit – Anforderungen, Konflikte und Perspektiven, Referate der 25. GIL Jahrestagung | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-49 | |
dc.title | Schwachstellenanalyse in der Ferkelerzeugung mit Hilfe von Control-Charts | de |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 160 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 157 | |
gi.conference.date | 8.-10. September 2004 | |
gi.conference.location | Bonn | |
gi.conference.sessiontitle | Regular Research Papers |
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