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Efficient event handling in supply networks using Q-learning and K-means clustering

 
: Doering, A.; Dangelmaier, W.; Laroque, C.

:

Azevedo, A. ; International Federation for Information Processing -IFIP-:
Innovation in Manufacturing Networks. Eighth IFIP International Conference on Information Technology for Balanced Automation Systems 2008 : Porto, Portugal, June 23 - 25, 2008
Berlin: Springer, 2008 (IFIP International Federation for Information Processing 266)
ISBN: 978-0-387-09492-2
ISBN: 978-0-387-09491-5
ISSN: 1571-5736
S.153-160
International Conference on Information Technology for Balanced Automation Systems <8, 2008, Porto>
Englisch
Konferenzbeitrag
Fraunhofer IZM ()

Abstract
Modern value-added processes will be globally cross-linked through outsourcing and reduction of real net output ratio. Therefore logistical planning and control processes become more complex. Events in supply networks and their consequences to the partners in the supply network will be hardly to overlook without using computer based decision support systems. This paper describes such a decision support system, learning the rules used to control the production network. In details the system architecture will be described, requirements to such a system will be identified and a solution developed at the Heinz Nixdorf Institute and Fraunhofer ALB (application center for logistic-oriented business administration) in Paderborn will be presented. The solution is based on a q-learning approach supported by a k-means clustering algorithm.

: http://publica.fraunhofer.de/dokumente/N-188164.html