Abstract
There are some problems in researches on supply chain control of pharmaceutical chain enterprises under dynamic environment. The authors establish a new paradigm of computer simulation analysis and adaptive control, the core strategies of which are data-driven and agent’s computing. The paper constructs a feedback closed-loop cycle mode that is data collection and processing, data-driven mode discovery and performance identification, data-driven control output. Then an adaptive dynamic control strategy is established based on active induction and emergency intervention control. Contents of the new strategy include: supply chain modeling of pharmaceutical chain enterprises based on CAS, adaptive control paradigm of supply chain in pharmaceutical chain enterprises, program design of control and system behavior assessment based on epsilon machine.
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Acknowledgments
This paper is supported by the 2010 key project of Humanities and social science research in universities in Anhui Province (N0:2010sk251zd), provincial research project of natural science of universities in Anhui Province (No. KJ2011Z217), and 2010 general project of humanities and social science fund in Anhui University of Traditional Chinese Medicine (N0:2010rw011B), etc.
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© 2013 Springer-Verlag London
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Wei, H., Xia, W., Wei, XD., Peng, DY., Huang, CH. (2013). Data-Driven Adaptive Control Paradigm of Supply Chain in Pharmaceutical Chain Enterprises. In: Du, W. (eds) Informatics and Management Science VI. Lecture Notes in Electrical Engineering, vol 209. Springer, London. https://doi.org/10.1007/978-1-4471-4805-0_23
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DOI: https://doi.org/10.1007/978-1-4471-4805-0_23
Publisher Name: Springer, London
Print ISBN: 978-1-4471-4804-3
Online ISBN: 978-1-4471-4805-0
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