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Phase-synchronisation in continuous flow models of production networks

Author

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  • Scholz-Reiter, Bernd
  • Tervo, Jan Topi
  • Freitag, Michael

Abstract

To improve their position at the market, many companies concentrate on their core competences and hence cooperate with suppliers and distributors. Thus, between many independent companies strong linkages develop and production and logistics networks emerge. These networks are characterised by permanently increasing complexity, and are nowadays forced to adapt to dynamically changing markets. This factor complicates an enterprise-spreading production planning and control enormously. Therefore, a continuous flow model for production networks will be derived regarding these special logistic problems. Furthermore, phase-synchronisation effects will be presented and their dependencies to the set of network parameters will be investigated.

Suggested Citation

  • Scholz-Reiter, Bernd & Tervo, Jan Topi & Freitag, Michael, 2006. "Phase-synchronisation in continuous flow models of production networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 363(1), pages 32-38.
    • Handle: RePEc:eee:phsmap:v:363:y:2006:i:1:p:32-38
    DOI: 10.1016/j.physa.2006.01.046
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    References listed on IDEAS

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    1. Nagatani, Takashi & Helbing, Dirk, 2004. "Stability analysis and stabilization strategies for linear supply chains," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 335(3), pages 644-660.
    2. Larsen, Erik R. & Morecroft, John D. W. & Thomsen, Jesper S., 1999. "Complex behaviour in a production-distribution model," European Journal of Operational Research, Elsevier, vol. 119(1), pages 61-74, November.
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    Cited by:

    1. Kück, Mirko & Freitag, Michael, 2021. "Forecasting of customer demands for production planning by local k-nearest neighbor models," International Journal of Production Economics, Elsevier, vol. 231(C).
    2. Florian Klug, 2022. "Modelling oscillations in the supply chain: the case of a just-in-sequence supply process from the automotive industry," Journal of Business Economics, Springer, vol. 92(1), pages 85-113, January.
    3. Klug, Florian, 2014. "Modelling and analysis of synchronised material flow with fluid dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 404-417.

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