Oscillator analogy for modelling the manufacturing systems dynamics

The purpose of this paper is to present an approach of modelling and analysis of the dynamic behaviour of manufacturing systems. The manufacturing system is considered to be responding to an excitation, namely a demand that varies over time, by producing a number of parts over time. This resembles a mechanical system that displaces its mass responding to a varying input force. Based on this analogy, this paper establishes a manufacturing system's modelling method. A system identification technique is used for deriving inertia, damping and stiffness from the manufacturing system's response to different excitations. Based on these attributes, the response of a manufacturing system to any given input can be estimated. Furthermore, a definition for assessing manufacturing flexibility, based on this approach, is being discussed.

[1]  Matthias Holweg,et al.  Towards responsive vehicle supply: a simulation-based investigation into automotive scheduling systems , 2005 .

[2]  Seyed Jafar Sadjadi,et al.  Optimal Production and Marketing Planning , 2005, Comput. Optim. Appl..

[3]  Denis Royston Towill,et al.  Assessing manufacturing system performance: Frequency response revisited , 1990 .

[4]  Bernd Scholz-Reiter,et al.  Modelling and Control of Production Systems based on Nonlinear Dynamics Theory , 2002 .

[5]  Ger Koole.  Simulation in Manufacturing , 1996 .

[6]  George Chryssolouris,et al.  Chaos Theory in Production Scheduling , 2004 .

[7]  A. Law.  Simulation of manufacturing systems , 1988, WSC '88.

[8]  Jan-Wilhelm Breithaupt,et al.  Controlling production dynamics - managing uncertainties with automatic production control , 2000 .

[9]  Jan-Wilhelm Breithaupt,et al.  Modelling and controlling the dynamics of production systems , 1999 .

[10]  George Chryssolouris,et al.  Manufacturing Systems: Theory and Practice , 1992 .

[11]  László Monostori,et al.  Emergent synthesis methodologies for manufacturing , 2001 .

[12]  Bernd Scholz-Reiter,et al.  Phase-synchronisation in continuous flow models of production networks , 2006 .

[13]  Tim Baines,et al.  An opportunity for system dynamics in manufacturing system modelling , 1999 .

[14]  E. Westkämper,et al.  Logistical Positioning in a Turbulent Environment , 2002 .

[15]  Matthias Holweg,et al.  The Second Century: Reconnecting Customer and Value Chain through Build-to-Order Moving beyond Mass and Lean Production in the Auto Industry , 2005 .

[16]  W. Thomson.  Theory of vibration with applications , 1965 .

[17]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .

[18]  Karsten Peters,et al.  Turbulente Zeiten , 2002 .

[19]  George Chryssolouris,et al.  An approach to the dynamic modelling of manufacturing systems , 1998 .

[20]  Hans-Peter Wiendahl,et al.  Load-Oriented Manufacturing Control , 1994 .

[21]  Mats Jägstam,et al.  A handbook for integrating discrete event simulation as an aid in conceptual design of manufacturing systems , 2002, Proceedings of the Winter Simulation Conference.

[22]  K Straub,et al.  Chaos Theory: Modeling, Simulation and Applications , 2011 .