Modelling And Simulation 1992
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Artificial Intelligence in Real-Time Control 1992
The symposium had two main aims, to investigate the state-of-the-art in the application of artificial intelligence techniques in real-time control, and to bring together control system specialists, artificial intelligence specialists and end-users. Many professional engineers working in industry feel that the gap between theory and practice in applying control and systems theory is widening, despite efforts to develop control algorithms. Papers presented at the meeting ranged from the theoretical aspects to the practical applications of artificial intelligence in real-time control. Themes were: the methodology of artificial intelligence techniques in control engineering; the application of artificial intelligence techniques in different areas of control; and hardware and software requirements. This symposium showed that there exist alternative possibilities for control based on artificial intelligence techniques.
Modeling Manufacturing Systems
Author: Paolo Brandimarte
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-03-09
Advanced modeling techniques are a necessary tool in order to design and manage manufacturing systems effectively. This book contains a set of tutorial chapters on topics ranging from aggregate production planning to real time control, including predictive and reactive scheduling, flow management in assembly systems, simulation of robotic cells, design of manufacturing systems under uncertainty and a historical perspective on production management philosophies. The book will be of interest both to researchers and practitioners, including graduate students in Manufacturing Engineering and Operations Research.
Modelling for Added Value
Author: Robert Macredie
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
This book gathers together research from three key application themes of modelling in operational research - modelling to support evaluation and change in organisations; modelling within the development and use of organisational information systems; and the use of modelling approaches to support, enable and enhance decision support in organisational contexts. The issues raised provide valuable insight into the range of ways in which operational research techniques and practices are being successfully applied in today's information-centred business world. Modelling for Added Value provides a window onto current research and practise in modelling techniques and highlights their rising importance across the business, industrial and commercial sectors. The book contains contributions from a mix of academics and practitioners and covers a range of complex and diverse modelling issues, highlighting the broad appeal of this increasingly important subject area.