Phase-synchronisation in continuous flow models of production networks |
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| Institution: | 1. Institute for Economics and Traffic, Dresden University of Technology, D-01062 Dresden, Germany;2. Department of Mathematics, Arizona State University, Tempe, AZ 85287-1804, USA;3. Complex Systems Group, Department of Physical Chemistry, Fritz Haber Institute of the Max Planck Society, 14195 Berlin, Germany;4. Department of Mechanical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands;1. Carnegie Mellon University, H. John Heinz III College, 5000 Forbes Avenue, Pittsburgh, PA 15213-3890, USA;2. Department for Operations Research and Control Systems, Institute for Mathematical Methods in Economics, Vienna University of Technology, Argentinierstr. 8, 1040 Vienna, Austria;3. Wittgenstein Center for Demography and Global Human Capital (IIASA,VID/OEAW,WU), Vienna Institute of Demography/Austrian Academy of Sciences, Wohllebengasse 12-14, 1040 Vienna, Austria;4. Department of Business Administration, University of Vienna, Bruennerstr. 72, 1210 Vienna, Austria;5. Department of Econometrics and Operations Research & CentER, Tilburg University, P.O. Box 90153, 5000 LE Tilburg, The Netherlands;6. Department of Economics, University of Antwerp, Prinsstraat 13, 2000 Antwerp, Belgium;1. Otto-von-Guericke University Magdeburg, Faculty of Economics and Management, Universitaetsplatz 2, 39106 Magdeburg, Germany;2. Shippensburg University, John L. Grove College of Business, 1871 Old Main Drive, Shippensburg, PA 17257, USA;1. College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China;2. Research School of Engineering, The Australian National University, ACT 2601, Australia |
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| 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. |
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