%0 Journal Article
	%A Marco Kennemann and  Steffen C. Eickemeyer and  Peter Nyhuis
	%D 2011
	%J International Journal of Industrial and Manufacturing Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 58, 2011
	%T Dynamically Monitoring Production Methods for Identifying Structural Changes relevant to Logistics
	%U https://publications.waset.org/pdf/15276
	%V 58
	%X Due to the growing dynamic and complexity within
the market environment production enterprises in particular are faced
with new logistic challenges. Moreover, it is here in this dynamic
environment that the Logistic Operating Curve Theory also reaches
its limits as a method for describing the correlations between the
logistic objectives. In order to convert this theory into a method for
dynamically monitoring productions this paper will introduce
methods for reliably and quickly identifying structural changes
relevant to logistics.
	%P 1992 - 1997