Details
| Translated title of the contribution | Operating figures for dynamically monitoring production |
|---|---|
| Original language | German |
| Pages (from-to) | 828-832 |
| Number of pages | 5 |
| Journal | ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb |
| Volume | 106 |
| Issue number | 11 |
| Publication status | Published - Nov 2011 |
Abstract
With ever growing globalization and continually greater competition, modern production enterprises are confronted with increasing demands especially with regards to their logistic Performance. A decisive competitive advantage for an optimal logistic and economic positioning is the ability of quickly and dynamically monitoring production. This paper deals with an approach for extending the Logistic Operating Curves Theory, developed at the Institute of Production Systems and Logistics (IFA), with new operating figures for describing dynamic processing states.
ASJC Scopus subject areas
- Engineering(all)
- General Engineering
- 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. 106, No. 11, 11.2011, p. 828-832.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Kennzahlen für ein dynamisches Produktionscontrolling
AU - Kennemann, Marco
AU - Eickemeyer, Steffen C.
AU - Nyhuis, Peter
PY - 2011/11
Y1 - 2011/11
N2 - With ever growing globalization and continually greater competition, modern production enterprises are confronted with increasing demands especially with regards to their logistic Performance. A decisive competitive advantage for an optimal logistic and economic positioning is the ability of quickly and dynamically monitoring production. This paper deals with an approach for extending the Logistic Operating Curves Theory, developed at the Institute of Production Systems and Logistics (IFA), with new operating figures for describing dynamic processing states.
AB - With ever growing globalization and continually greater competition, modern production enterprises are confronted with increasing demands especially with regards to their logistic Performance. A decisive competitive advantage for an optimal logistic and economic positioning is the ability of quickly and dynamically monitoring production. This paper deals with an approach for extending the Logistic Operating Curves Theory, developed at the Institute of Production Systems and Logistics (IFA), with new operating figures for describing dynamic processing states.
UR - http://www.scopus.com/inward/record.url?scp=83455242851&partnerID=8YFLogxK
M3 - Artikel
AN - SCOPUS:83455242851
VL - 106
SP - 828
EP - 832
JO - ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb
JF - ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb
SN - 0947-0085
IS - 11
ER -