Dynamically Monitoring Production Methods for Identifying Structural Changes relevant to Logistics

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.

Authors:

• Marco Kennemann
• Steffen C. Eickemeyer
• Peter Nyhuis

Keywords:

• Dynamics
• Logistic Operating Curves
• Production Logistics
• Production Planning and Control

References:

[1] P. Nyhuis, "Logistic Production Operating Curves - Basic Model of the
Theory of Logistic Operating Curves," Annals of the CIRP 55 2006 1,
pp.441-444
[2] M. Kennemann, S. C. Eickemeyer, E. Schnurr, P. Nyhuis,
"Produktionskennlinien im dynamischen Umfeld: Entwicklung eines
logistischen Wirkmodells mittels simulationsgest├╝tzter
Versuchsplanung," In: ZWF-Zeitschrift f├╝r wirtschaftlichen
Fabrikbetrieb, Hanser-Verlag, Volume 105 2010 10, pp. 865-869
[3] P. Nyhuis, H. P. Wiendahl, "Fundamentals of Production Logistics:
Theory, Tools and Applications," Berlin, 2008
[4] H. Rinne, H.-J. Mittag, "Statistische Methoden der Qualitätssicherung,"
2nd Edition Hanser-Verlag, Munich, 1991
[5] H.-J. Mittag, "Qualitätsregelkarten," Hanser-Verlag, Munich, 1993
[6] D. J. Wheeler, D. S. Chambers, "Understanding statistical process
controll," SPC-Press, Knoxville, 1986
[7] W. A. Shewhart, "Economic Control of Quality of Manufactured
Product," New York, 1931
[8] G. Faes, "SPC-Statistische Prozesskontrolle: Eine praktische Einf├╝hrung
in die statistische Prozesskontrolle und deren Nutzung," Books on
Demand GmbH, Norderstedt, 2009
[9] T. P. Ryan, "Statistical Methods for Quality Improvement," Yohn
Wiley & Sons, New York 2000
[10] R. L. Brown, J. Durbin, J. M. Evans, "Techniques for testing the
constancy of regression relationships over time," Journal of the Royal
Statistical Society, Series 37, 1975, pp. 149-163
[11] J. S. Oakland, "Statistical Process Control," Butterworth-Heinemann-
Verlag, Oxford, 2003
[12] G. A. Bernard, "Decision Interval V-masks for Use in Cumulative Sum
Charts," Applied Statistics , Vol. 1, p. 132
[13] E. Ludwig, "Modellgest├╝tzte Diagnose logistischer
Produktionsabläufe," Diss. Universität Hannover, Fortschritt-Berichte
VDI Series 2, No. 362, D├╝sseldorf 1995