Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 962-966 |
| Seitenumfang | 5 |
| Fachzeitschrift | World Academy of Science, Engineering and Technology |
| Jahrgang | 46 |
| Publikationsstatus | Veröffentlicht - Dez. 2010 |
Abstract
An increasingly dynamic and complex environment poses huge challenges to production enterprises, especially with regards to logistics. The Logistic Operating Curve Theory, developed at the Institute of Production Systems and Logistics (IFA) of the Leibniz University of Hanover, is a recognized approach to describing logistic interactions, nevertheless, it reaches its limits when it comes to the dynamic aspects. In order to facilitate a timely and optimal Logistic Positioning a method is developed for quickly and reliably identifying dynamic processing states.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Allgemeiner Maschinenbau
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in: World Academy of Science, Engineering and Technology, Jahrgang 46, 12.2010, S. 962-966.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Dynamics in production processes
AU - Kennemann, Marco
AU - Eickemeyer, Steffen C.
AU - Nyhuis, Peter
PY - 2010/12
Y1 - 2010/12
N2 - An increasingly dynamic and complex environment poses huge challenges to production enterprises, especially with regards to logistics. The Logistic Operating Curve Theory, developed at the Institute of Production Systems and Logistics (IFA) of the Leibniz University of Hanover, is a recognized approach to describing logistic interactions, nevertheless, it reaches its limits when it comes to the dynamic aspects. In order to facilitate a timely and optimal Logistic Positioning a method is developed for quickly and reliably identifying dynamic processing states.
AB - An increasingly dynamic and complex environment poses huge challenges to production enterprises, especially with regards to logistics. The Logistic Operating Curve Theory, developed at the Institute of Production Systems and Logistics (IFA) of the Leibniz University of Hanover, is a recognized approach to describing logistic interactions, nevertheless, it reaches its limits when it comes to the dynamic aspects. In order to facilitate a timely and optimal Logistic Positioning a method is developed for quickly and reliably identifying dynamic processing states.
KW - Dynamics
KW - Logistic operating curves
KW - Production logistics
KW - Production planning and control
UR - http://www.scopus.com/inward/record.url?scp=84871441582&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:84871441582
VL - 46
SP - 962
EP - 966
JO - World Academy of Science, Engineering and Technology
JF - World Academy of Science, Engineering and Technology
SN - 2010-376X
ER -