Emerging Solutions for Future Manufacturing Systems

IFP TC 5 / WG 5.5 Sixth IFIP International Conference on Information Technology for Balanced Automation Systems in Manufacturing and Services 27–29 September 2004, Vienna, Austria

  • Luis M. Camarinha-Matos

Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 159)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Keynote

    1. Front Matter
      Pages 1-1
  3. Multi-Agent and Holonic Systems in Manufacturing

    1. Front Matter
      Pages 13-13
    2. Jason J. Scarlett, Robert W. Brennan, Francisco Maturana, Ken Hall, Vladimir Marik, Douglas H. Norrie
      Pages 15-22
    3. Martyn Fletcher, Michal Pěchouček
      Pages 23-32
    4. Paulo Leitão, Francisco Casais, Francisco Restivo
      Pages 33-44
    5. Scott Olsen, Jason J. Scarlett, Robert W. Brennan, Douglas H. Norrie
      Pages 45-52
    6. Alois Reitbauer, Alessandro Battino, Bart Saint Germain, Anthony Karageorgos, Nikolay Mehandjiev, Paul Valckenaers
      Pages 53-60
    7. Vladimír Mařík, Pavel Vrba, Martyn Fletcher
      Pages 61-72
    8. Teppo Pirttioja, Ilkka Seilonen, Pekka Appelqvist, Aarne Halme, Kari Koskinen
      Pages 73-80
    9. Francisco P. Maturana, Raymond Staron, Kenwood Hall, Pavel Tichý, Petr Šlechta, Vladimír Mařík
      Pages 81-90
    10. Mika Karaila, Ari Leppäniemi
      Pages 91-98
    11. Francisco Maturana, Raymond Staron, Fred Discenzo, Kenwood Hall, Pavel Tichý, Petr Šlechta et al.
      Pages 99-108
    12. Milan Rollo, Petr Novák, Jiří Kubalík, Michal Pěchouček
      Pages 109-116
    13. José Barata, L. M. Camarinha-Matos
      Pages 117-128
    14. Chun Wang, Hamada Ghenniwa, Weiming Shen, Yue Zhang
      Pages 129-138
    15. Leendert W. M. Wienhofen
      Pages 139-146
    16. Octavio Castolo, Luis M. Camarinha-Matos
      Pages 147-160

About these proceedings

Introduction

EMERGING SOLUTIONS FOR

FUTURE MANUFACTURING SYSTEMS

Edited by: Luis M. Camarinha-Matos

Industries and particularly the manufacturing sector have been facing difficult challenges in a context of socio-economic turbulence which is characterized by complexity as well as the speed of change in causal interconnections in the socio-economic environment. In order to respond to these challenges companies are forced to seek new technological and organizational solutions. Information technology plays a fundamental role in this process but sustainable advances in industry also need to consider the human aspects, what led to the concept of "balanced automation systems" in an attempt to center the discussion on the balance between the technical aspects of automation and the human and social facets. Similar challenges are faced by the service sector.

In this context two main characteristics emerge as key properties of a modern automation system – agility and distribution. Agility because systems need not only to be flexible in order to adjust to a number of a-priori defined scenarios, but rather must cope with unpredictability. Distribution in the sense that automation and business processes are becoming distributed and supported by collaborative networks. These networks can be observed at the inter-enterprise collaboration level, but also at the shop floor level where more and more control systems are designed as networks of autonomous and collaborative nodes. Multi-agent, holonic and intelligent systems approaches play, naturally, a major role here. Advances in communications and ubiquitous computing, including the new wireless revolution, are fundamental enablers for these processes.

This book includes the papers selected for the BASYS’04 conference, which was held in Vienna, Austria in September 2004 and sponsored by the International Federation for Information Processing (IFIP).

Emerging Solutions for Future Manufacturing Systems is essential reading for researchers and engineering students in production engineering, computer science, collaborative networks, artificial intelligence, electrical engineering, mechanical engineering, and industrial sociology, as well as for engineers, industrial managers and practitioners in manufacturing and service provision systems organization and planning.

Keywords

Manufacturing Manufacturing Scheduling Manufacturing System automation classification complexity data mining information system knowledge base knowledge management learning machine learning multi-agent system optimization robot

Editors and affiliations

  • Luis M. Camarinha-Matos
    • 1
  1. 1.New University of LisbonPortugal

Bibliographic information

  • DOI https://doi.org/10.1007/b99775
  • Copyright Information International Federation for Information Processing 2005
  • Publisher Name Springer, Boston, MA
  • eBook Packages Computer Science
  • Print ISBN 978-0-387-22828-0
  • Online ISBN 978-0-387-22829-7
  • Series Print ISSN 1571-5736
  • About this book
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