BISC Special Interest Group on Intelligent Manufacturing and Fault Diagnosis

Mihaela Ulieru (ulieru@enme.ucalgary.ca)
Wed, 11 Nov 1998 03:57:18 +0100 (MET)

Dear Biscers,

At the suggestion of Professor Zadeh I have the pleasure to initiate the Special
Interest Group on Intelligent Manufacturing and Fault Diagnosis (SIG IM&FD).

BRIEF DESCRIPTION OF THE GROUP'S FOCUS

The Manufacturing Enterprises of the 21st Century demand for strategies able to
support global competitiveness, new product innovation/introduction and rapid
market responsiveness. Several Intelligent Manufacturing paradigms have been
introduced in the past decade in response to this demand. Among the most
successful we could mention:

- Agile Manufacturing (the ability to adapt in a manufacturing environment of
continuous and unanticipated change),
- Global Manufacturing (dealing with the coordination of manufacturing systems
distributed in space/time),
- Holonic Manufacturing (aiming at a unified organizational structure consisting
of autonomous and cooperative modules named holons).

Overall all these paradigms are characterized by a radical shift from the
traditional rigid, fix, mechanistic organizational structure to more flexible,
organic-like structures. Appropriately the management and control paradigms are
changing from fix centralized to more easy reconfigurable, de-centralized ones.
Much progress has been done by Distributed Artificial Intelligence researchers
in the area of Multi-Agent Systems - which has proven to be an excellent tool
for the implementation of most Intelligent Manufacturing paradigms.

As a way to achieve continuous run-time production, Fault Diagnosis should
become an integral part of any intelligent manufacturing system. In addition to
the classical control loop from the execution level, each manufacturing system
should incorporate a feed-back of knowledge at the higher levels of resolution.
Here an appropriate diagnosis methodology is a must.

It is already well known the important role of fuzzy decision-making in the
management and control of manufacturing systems as well as in fault diagnosis.
The complexity of manufacturing processes demands for high ability to deal with
imprecise/incomplete information. The SIG IM&FD aims to bring together
researchers from all over the world interested in the application of Fuzzy Sets
Theory to the design, modeling and control (which includes on-line fault
diagnosis) of intelligent manufacturing systems.

CALL FOR PARTICIPATION

I invite all the BISC members who are doing research in these fields to contact
me by e-mail (ulieru@enme.ucalgary.ca) with information about their current work
and as well with suggestions. I will set a mailing list for our group and
disseminate all the received information (adding of course details regarding my
work).

Inspired by Masoud Nikravesh I would like as well to call for contributions for
an Invited Session on Intelligent Manufacturing and Fault Diagnosis - which I
organize for the Systems Conference at IMACS-IEEE'99 to be held in Athens,
Greece, July 4-8, 1999. This will give us a good opportunity to meet and become
aware of the progress going on in this field of interest. All the information
about the Conference is to be found at:
http://www.softlab.ece.ntua.gr/~mastor/CSCC99.htm
Please send me e-mail regarding your intention to participate with a paper, the
title of the paper and your affiliation.

I look forward to hear from you and wish all the BISC-ers good luck with their
work and life!

Dr. Mihaela Ulieru
Associate NORTEL Chair in Intelligent Manufacturing
and Tel. (403) 220-8976
Associate Professor Fax. (403) 282-8406
Manufacturing Engineering E-mail:Ulieru@enme.ucalgary.ca

The University of Calgary
2500 University Drive NW, Calgary, AB T2N 1N4

URL:http://www.acs.ucalgary.ca/~ulieru/Ulieru.htm

############################################################################
This message was posted through the fuzzy mailing list.
(1) To subscribe to this mailing list, send a message body of
"SUB FUZZY-MAIL myFirstName mySurname" to listproc@dbai.tuwien.ac.at
(2) To unsubscribe from this mailing list, send a message body of
"UNSUB FUZZY-MAIL" or "UNSUB FUZZY-MAIL yoursubscription@email.address.com"
to listproc@dbai.tuwien.ac.at
(3) To reach the human who maintains the list, send mail to
fuzzy-owner@dbai.tuwien.ac.at
(4) WWW access and other information on Fuzzy Sets and Logic see
http://www.dbai.tuwien.ac.at/ftp/mlowner/fuzzy-mail.info
(5) WWW archive: http://www.dbai.tuwien.ac.at/marchives/fuzzy-mail/index.html