%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