at Google ScholarTitle data
Dashkovskiy, Sergey ; Mironchenko, Andrii ; Naujok, Lars:
Autonomous and central control of production networks.
In: Hülsmann, Michael ; Scholz-Reiter, Bernd ; Windt, Katja
(ed.):
Autonomous Cooperation and Control in Logistics : Contributions and Limitations - Theoretical and Practical Perspectives. -
Berlin ; Heidelberg
: Springer
,
2011
. - pp. 27-43
ISBN 978-3-642-19468-9
DOI: https://doi.org/10.1007/978-3-642-19469-6_4
Abstract in another language
In this contribution we discuss central and autonomous control of production networks. We provide a number of parameters that influence the comparative effectiveness of these two methods. Further, the results concerning stability of the production networks are discussed and it is shown, how the central planning methods, implemented into mathematical models with the help of optimal control theory, can be used to achieve information about the possible form of controls. We investigate the limitations of both control methods and give possible ways, how to increase the effectiveness of control of production networks.
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Keywords: | logistics; production networks |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics) Profile Fields > Advanced Fields > Nonlinear Dynamics Research Institutions > Central research institutes > Bayreuth Research Center for Modeling and Simulation - MODUS Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics Profile Fields Profile Fields > Advanced Fields Research Institutions Research Institutions > Central research institutes |
| Result of work at the UBT: | No |
| DDC Subjects: | 500 Science > 510 Mathematics |
| Date Deposited: | 07 Mar 2025 09:32 |
| Last Modified: | 07 Mar 2025 09:32 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/92687 |