%0 Journal Article
	%A Marco Kennemann and Steffen C. Eickemeyer and Peter Nyhuis
	%D 2010
	%J International Journal of Industrial and Manufacturing Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 46, 2010
	%T Dynamics In Production Processes
	%U https://publications.waset.org/pdf/5294
	%V 46
	%X 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.

	%P 1137 - 1141