Intelligent Control and Integration of Manufacturing Systems


ICIMS - 9251

Work Area: Basic Aspects of Multiple Computing Agents

Keywords multiple computing agents, manufacturing systems


Start Date: to be announced / Status: starting

[ participants / contact ]


Goals, Activities and Structure

Most complex manufacturing systems and many natural processes are of a distributed nature and are characterised by the interaction of many agents trying to solve a variety of problems. In these systems, each agent has an individual, local view of the problem, and at the same time must successfully interact with other subsystems and agents in order to find global solutions to the problems posed. One of the difficulties in both the design and the understanding of distributed Complex Manufacturing Systems comes from the lack of central controls and the conflicting, uncertain, incomplete and delayed knowledge from the agents.

Although there has been considerable progress in theoretical as well as applied research in developing isolated "islands of excellence" in the areas of systems controls and integration of systems, relatively little has been developed in the evaluation of the global behaviour of these systems as they are scaled up to deal with more realistic problems. This is an important issue since the individual agents must not only be designed to cooperate with each other, but also to adapt appropriately to global consequences of their actions (holonic systems). Thus, it is required that considerable basic and applied research in this area be undertaken as well as coordinated in order to develop the necessary generic tools which will enable the design of future Complex Manufacturing Systems in which "Intelligent Control" and "Integration" will be the central factor.

The main objective of the proposed NOE in "Intelligent Control and Integration of Manufacturing Systems" (ICIMS) is to pool together and enhance the human and material resources of leading research and academic institutions as well as all related industries, aiming at the creation of an infrastructure that will allow the coordination of research and development, provide the leadership for new research directions, efficiently disseminate the new knowledge and help the effective training of professionals and students alike. The long term industrial goal of the NOE ICIMS is to develop and contribute the necessary tools so that an Adaptive Intelligent Factory (ADIF) become a reality in the long run of 10-12 years. The distinct feature of ADIF would be the effective linkage of intelligence and integration.

Further information about ICIMS is available from the ICIMS home page <URL:http://www.lar.ee.upatras.gr/icims/noe.htm>.


Coordinator

University of Patras - GR
Laboratory of Automation and Robotics
Dept. of Electrical Engineering
GR - Rion, PATRAS 26500

Participants

PMA, Katholieke Universiteit Leuven - B
BIBA - D
Technische Universität Berlin - D
Fraunhofer Institute - D
Universität Karlsruhe - D
Universität Bochum - D
Technical University of Denmark - DK
Instituto de Automatica Industrial - E
Universidad Politecnica de Madrid-Etsil - E
Universidad Politechnica de Valencia - E
Université de Bordeaux 1 - F
Université de Toulouse 1 - F
Université de Nancy - F
University of Patras - GR
NTUA, National Technical University of Athens - GR
Technical University of Crete - GR
University of Veszpren, Hungary - HU
Computer and Automation Inst. Budapest - HU
Technical University of Budapest - HU
Politecnico di Torino - I
Università de Genova - I
Università di Firenze - I
University College Galway - IRL
University of Trondheim - N
NTH University of Trondheim, Norwegian Institute of Technology - N
EUT/Eindhoven University of Technology - NL
Philips Research Labs - NL
Universidade de Aveiro - P
Universidade de Porto - P
Instituto Superior Technico Lisboa - P
Krakow University of Mining and Metallurgy - PL
Silesia Technical University, Gliwice - PL
Technical Institute of Warsaw - PL
Lund University - S
Royal Institute of Technology - S
Helsinki University of Technology - SF
Slovak Technical University - SL
City University of London - UK
Cranfield Insitute of Technology - UK
University of Reading - UK
University of Stratclyde - UK
University of Birmingham - UK
Imperial College - UK

CONTACT POINT

Prof. Peter P. Groumpos
tel +30/61 997295
fax +30/61 997309
e-mail: lar@grpatvx1.bitnet


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ICIMS - 9251, August 1994


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html version of synopsis by Nick Cook