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HYBRID ARTIFICIAL INTELLIGENCE SYSTEMS IN MANAGEMENT OF PRODUCTION SYSTEMS

Contents of the session

Management of manufacturing systems involves the development of detailed solutions related to decision making processes. Even during manufacturing process planning there are many important decisions to be taken, related to product assortment or detailed constructional and organizational solutions. In further stages of product development the number of data and the complexity of relations between product features and production system characteristics are growing. Additional issues complicate next stages of decision making process related to organization, planning and control of production systems.

The aim of this session is to present results of research related to the support of decision making processes in the management of production systems. Special attention is paid to solutions employing hybrid artificial intelligence systems. Hybrid systems allow for connecting functionalities of different artificial intelligence methods, like: connections of artificial neural networks and expert systems, connections of different knowledge representations methods or different knowledge processing techniques. Considering the complexity of problems related to production management, hybrid artificial intelligence systems seem to be the most adequate tools.

Topics

  • Application of hybrid artificial intelligence systems to problem solving in production planning and preparation
  • Application of hybrid artificial intelligence systems to production system organization
  • Application of hybrid artificial intelligence systems to planning and control of manufacturing systems

Contributions

Original contributions are sought in the area of the topics covered by this special session. All submissions will be refereed by experts in the field, based on originality, significance, quality and clarity. Every submitted paper will be reviewed by at least two members of the Program Committee.

Papers must be prepared according to the LNCS-LNAI style template (see: http://www.springer.de/comp/lncs/authors.html) and should not be longer than 8 pages, including figures and bibliography.

NOTICE: At least one author of each accepted paper must register in order for the paper to be included in the HAIS 2011 Proceedings.

Authors are requested to submit their contributions through the HAIS'11 paper submission page and also email a PDF file to the chair of this special session.

Co-Charis

  • Professor Edward Chlebus, PhD DSc (Eng.) – Wroclaw University of Technology, Poland
  • Professor Ulrich Günther, Technische Universität Dresden, Germany
  • Professor David Williams, Loughborough University, UK
  • Dr Anna Burduk, PhD (Eng.) – Wroclaw University of Technology, Poland

Program Committee

  • Prof. Edward Chlebus – Wroclaw University of Technology, Poland
  • Prof. Bożena Skołud – Silesian University of Technology
  • Dr Anna Burduk – Wroclaw University of Technology, Poland
  • Dr Cezary Grabowik - Silesian University of Technology, Poland
  • Dr Damian Krenczyk - Silesian University of Technology, Poland
  • Dr Kamil Krot – Wroclaw University of Technology, Poland
  • Dr Michał Kuliberda – Wroclaw University of Technology, Poland
  • Dr Mieczysław Jagodziński – Silesian University of Technology
  • Dr Jacek Czajka – Wroclaw University of Technology, Poland

Contact information

Anna Burduk

  • E-mail: anna.burduk@pwr.wroc.pl
  • Affiliation: Wroclaw University of Technology, Institute of Production Engineering and Automation
  • Postal address: ul. Lukasiewicza 5, 50-371 Wroclaw, Poland
  • Telephone number:+48 71 3203710

Layout by Maciej Krysmann, photographies by Szymon Sztajer