Physics, stability, and dynamics of supply networks.

We show how to treat supply networks as physical transport problems governed by balance equations and equations for the adaptation of production speeds. Although the nonlinear behavior is different, the linearized set of coupled differential equations is formally related to those of mechanical or electrical oscillator networks. Supply networks possess interesting features due to their complex topology and directed links. We derive analytical conditions for absolute and convective instabilities. The empirically observed "bullwhip effect" in supply chains is explained as a form of convective instability based on resonance effects. Moreover, it is generalized to arbitrary supply networks. Their related eigenvalues are usually complex, depending on the network structure (even without loops). Therefore, their generic behavior is characterized by damped or growing oscillations. We also show that regular distribution networks possess two negative eigenvalues only, but perturbations generate a spectrum of complex eigenvalues.

[1]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.

[2]  Erik Mosekilde,et al.  Deterministic chaos in the beer production-distribution model , 1988 .

[3]  Toshimitsu Ushio,et al.  Controlling chaos in a switched arrival system , 1995 .

[4]  Hau L. Lee,et al.  Information distortion in a supply chain: the bullwhip effect , 1997 .

[5]  R. Mantegna,et al.  An Introduction to Econophysics: Contents , 1999 .

[6]  Arkady Pikovsky,et al.  Chaos and complexity in a simple model of production dynamics , 2000 .

[7]  S. Bornholdt,et al.  Topological evolution of dynamical networks: global criticality from local dynamics. , 2000, Physical review letters.

[8]  Dieter Armbruster,et al.  Periodic Orbits in a Class of Re-Entrant Manufacturing Systems , 2000, Math. Oper. Res..

[9]  Moshe Levy,et al.  Microscopic Simulation of Financial Markets , 2000 .

[10]  Albert-László Barabási,et al.  Statistical mechanics of complex networks , 2001, ArXiv.

[11]  M. Lambrecht,et al.  Transfer function analysis of forecasting induced bullwhip in supply chains , 2002 .

[12]  Carlos F. Daganzo,et al.  A theory of supply chains , 2003 .

[13]  Modelling supply networks and business cycles as unstable transport phenomena , 2003, cond-mat/0307366.

[14]  Stephen M. Disney,et al.  Measuring and avoiding the bullwhip effect: A control theoretic approach , 2003, Eur. J. Oper. Res..

[15]  John F. Padgett,et al.  Economic production as chemistry , 2003 .

[16]  Dirk Helbing,et al.  Assessing interaction networks with applications to catastrophe dynamics and disaster management , 2003 .

[17]  Hd Dieter Armbruster,et al.  Control and synchronization in switched arrival systems , 2003 .

[18]  Kim Sneppen,et al.  Modeling dynamics of information networks. , 2003, Physical review letters.

[19]  Dirk Helbing,et al.  Network-induced oscillatory behavior in material flow networks and irregular business cycles. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[20]  D. Helbing,et al.  Stability analysis and stabilization strategies for linear supply chains , 2003, cond-mat/0304476.