Details
| Translated title of the contribution | Desire and Reality of Operational Data Quality: A Look at Production Data Collected in the Industry |
|---|---|
| Original language | German |
| Pages (from-to) | 852-855 |
| Number of pages | 4 |
| Journal | ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb |
| Volume | 116 |
| Issue number | 11 |
| Early online date | 20 Nov 2021 |
| Publication status | Published - Nov 2021 |
Abstract
For manufacturing companies, production data is the new gold. Especially for the production planning and control, the quality and timeliness of the collected data is crucial. However, the current state of the art in "mining"is still characterized by manual activities. This article shows how efficient this practice is in capturing data in companies and what effect it has on the "purity"of the data.
ASJC Scopus subject areas
- Engineering(all)
- Business, Management and Accounting(all)
- Strategy and Management
- Decision Sciences(all)
- Management Science and Operations Research
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In: ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, Vol. 116, No. 11, 11.2021, p. 852-855.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Betriebsdaten und ihre aktuellen Potenziale
T2 - Ein Blick auf die in der Industrie erfassten Produktionsdaten
AU - Arnold, Daniel
AU - Wilmsmeier, Sören
AU - Denkena, Berend
AU - Dayeg, Aymen
PY - 2021/11
Y1 - 2021/11
N2 - For manufacturing companies, production data is the new gold. Especially for the production planning and control, the quality and timeliness of the collected data is crucial. However, the current state of the art in "mining"is still characterized by manual activities. This article shows how efficient this practice is in capturing data in companies and what effect it has on the "purity"of the data.
AB - For manufacturing companies, production data is the new gold. Especially for the production planning and control, the quality and timeliness of the collected data is crucial. However, the current state of the art in "mining"is still characterized by manual activities. This article shows how efficient this practice is in capturing data in companies and what effect it has on the "purity"of the data.
KW - Data Acquisition
KW - Data Quality
KW - Operating Data
UR - http://www.scopus.com/inward/record.url?scp=85121026868&partnerID=8YFLogxK
U2 - 10.1515/zwf-2021-0177
DO - 10.1515/zwf-2021-0177
M3 - Artikel
AN - SCOPUS:85121026868
VL - 116
SP - 852
EP - 855
JO - ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb
JF - ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb
SN - 0947-0085
IS - 11
ER -