Artificial Intelligence in Reactive Scheduling

by R. Kerr (Editor), E. Szelke (Editor)

Overview

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.

Product Details

ISBN-13:	9780412729003
Publisher:	Springer US
Publication date:	07/31/1995
Series:	IFIP Advances in Information and Communication Technology
Edition description:	1995
Pages:	166
Product dimensions:	6.14(w) x 9.21(h) x 0.02(d)

Table of Contents

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.