Knowledge-based reactive scheduling : proceedings of the IFIP TC5/WG5.7 International Workshop on Knowledge-Based Reactive Scheduling, Athens, Greece, 1 October, 1993
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Bibliographic Information
Knowledge-based reactive scheduling : proceedings of the IFIP TC5/WG5.7 International Workshop on Knowledge-Based Reactive Scheduling, Athens, Greece, 1 October, 1993
（IFIP transactions, B. Applications in technology ; 15）
North-Holland, 1994
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Includes bibliographical references
Description and Table of Contents
Description
Reactive scheduling is concerned with monitoring and controlling the execution of predictive schedules and making any changes required to bring them in line with unanticipated events or disturbances happening in real time. Whilst predictive scheduling has been a focus of research for many years, it is only recently that explicit attention has been given to the specific problems of reactive scheduling and the relationship between the two. This publication explores the scope and status of both existing, and potential approaches to reactive scheduling. Concentration is centred on knowledge-based approaches as the importance of domain knowledge, whether stored in computers or in the brains of experienced schedulers, is becoming increasingly apparent. Contributions examine a variety of approaches ranging from reactive scheduling decision-support frameworks in which the knowledge comes mainly from the human, through to completely new approaches to automated reactive scheduling such as neural networks. The book should be of particular interest to researchers, students and engineers involved in the manufacturing and software development industries.
In addition to providing a significant reference volume, it also aims to stimulate increased discussion in this emerging field.
Table of Contents
Knowledge-based reactive scheduling in a flexible manufacturing system (K. Fischer). Application of neural network process models in reactive scheduling (B.J. Garner, G.J. Ridley). Production activity control for small manufacturing enterprises (J. Browne, M. Browne, P. Jordan). Reactive scheduling in a fuzzy-temporal framework (J. Dom, R.M. Kerr, G. Thalhammer). How to apply fuzzy logic to reactive production scheduling (G. Schmidt). Revisiting the Johnson algorithm for flow-shop scheduling with genetic algorithms (H. Mulkens). Scheduling for absolute temporal consistency (P. Raja, L. Ruiz, J. Hernandez, G. Noubir, M. Riese). Configurable systems for reactive production management (S.F. Smith, O. Lassila). Adaptive schedule repair (K.P. Sycara, K. Miyashita). Reactive scheduling - an intelligent supervisor function (E. Szelke, G. Markus). A predictive and reactive scheduling tool kit for repetitive manufacturing (M.M.C. Tam, D.H.L. Choi, W.W.C. Chuna, T.C.E. Cheng, P.P.K. Chiu). Open discussion - a summary (R.M. Kerr, E. Szelke).
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