Kerr / Szelke Artificial Intelligence in Reactive Scheduling

1. Auflage 1995
ISBN: 978-0-387-34928-2
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 166 Seiten, eBook

Reihe: IFIP International Federation for Information Processing

This volume encompasses state-of-the-art developments in AI-based reactive scheduling for real-time operation management in manufacturing shop floors. It is a collection of papers from the Second International Workshop of the IFIP Working Group 5.7 which brought together researchers from management information systems and knowledge engineering to expand the focus on applying new knowledge-based techniques.

Zielgruppe

Research

Autoren/Hrsg.

Kerr, R.

Szelke, E.

Inhaltsverzeichnis

Directing an opportunistic scheduler: an empirical investigation on reactive scenarios. From reactive to active scheduling by using multi-agents. REAKTION: a system for event independent reactive scheduling. Case-based reactive scheduling. On-line algorithms for reactive scheduling. A blackboard based perspective of reactive scheduling. A holistic control architecture infrastructure for dynamic scheduling. A knowledge-based tool for reactive scheduling. Learning to schedule and unbalance production using simulation. Experiments with a distributed architecture for predictive scheduling and execution monitoring. Using neural networks for reactive scheduling. Knowledge acquisition for reactive scheduling. Keyword index. Index of contributors.