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Information and material flows in complex networks

Author

Listed:
  • Helbing, Dirk
  • Armbruster, Dieter
  • Mikhailov, Alexander S.
  • Lefeber, Erjen

Abstract

In this special issue, an overview of the Thematic Institute (TI) on Information and Material Flows in Complex Systems is given. The TI was carried out within EXYSTENCE, the first EU Network of Excellence in the area of complex systems. Its motivation, research approach and subjects are presented here. Among the various methods used are many-particle and statistical physics, nonlinear dynamics, as well as complex systems, network and control theory. The contributions are relevant for complex systems as diverse as vehicle and data traffic in networks, logistics, production, and material flows in biological systems. The key disciplines involved are socio-, econo-, traffic- and bio-physics, and a new research area that could be called “biologistics”.

Suggested Citation

  • Helbing, Dirk & Armbruster, Dieter & Mikhailov, Alexander S. & Lefeber, Erjen, 2006. "Information and material flows in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 363(1), pages 1-1.
    • Handle: RePEc:eee:phsmap:v:363:y:2006:i:1:p:xi-xvi
    DOI: 10.1016/j.physa.2006.01.042
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    References listed on IDEAS

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    1. Dieter Armbruster & Daniel E. Marthaler & Christian Ringhofer & Karl Kempf & Tae-Chang Jo, 2006. "A Continuum Model for a Re-entrant Factory," Operations Research, INFORMS, vol. 54(5), pages 933-950, October.
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    Cited by:

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    2. Haiyang Fang & Dali Jiang & Tinghong Yang & Ling Fang & Jian Yang & Wu Li & Jing Zhao, 2018. "Network evolution model for supply chain with manufactures as the core," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-28, 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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