IEA-AIE 2008



Knowledge Driven Manufacturing Systems


Global market challenges facing companies and their suppliers call for a complex approach both to business and manufacturing (including material, data, money, personnel and energy flows) processes, and to the modern IT and AI concepts standing behind decision support engineering. Some of the most challenging issues that arise in the domain of distributed manufacturing technology and management include manufacturability analysis, validation and evaluation of process plans, partnership in virtual enterprises, process design, and optimization of production plans and schedules. So, the managers need to be able to utilize a modern decision support tools as to undertake optimal business decisions in further strategic perspective of enterprise operation.

Usually, the decision making results in maintaining the requirements defined in the triad: shortening production cycles, reducing costs and improving quality. The objectives mentioned encompass different points of view and require various models and specific solution techniques. Meeting such conflicting requirements is possible, however only with the newest methods based on novel AI and knowledge base engineering paradigms. This means that the selection of the appropriate conceptual model at the development of the model-based design and evaluation methods is of primary importance.

In that context the session will bring together specialists from academia, R&D centers and industry in order to discuss and exchange experience in the field of theory and application of knowledge engineering. Special attention will be paid to: knowledge representation and knowledge management, novel computing paradigms supporting decision making as well as tools and applications including case studies and reports on deployments.

List of detailed topics:

  • Autonomous Agents
  • Computational Intelligence
  • Data Mining and Management
  • Decision Making
  • Decision Support Systems
  • Discrete Event Dynamic Systems
  • Evolutionary Computation
  • Expert Systems
  • Formal models of agency.
  • Foundation of Intelligent Informatics
  • Fuzzy Systems
  • Genetic Algorithms
  • Human Computer Interaction
  • Intelligent Communication systems
  • Intelligent Control
  • Intelligent Manufacturing
  • Knowledge Based Systems
  • Knowledge Representation
  • Man-Machine Interaction/Interfaces
  • Multi-Agent Systems
  • Ontology and Semantic Engineering
  • Probabilistic Reasoning
  • Web Intelligence


Zbigniew A. Banaszak
Technical University of Koszalin, Poland

Oleg Zaikin
Technical University of Szczecin, Poland

Program Committee:

Joze Balic, Slovenia
Zbigniew Banaszak, Poland
Alexandre Dolgui, France
Milan Gregor, Slovakia
Hans-Michael Hanich, Germany
Vladimir Kulba, Russia
Edward Nawarecki, Poland
Oleg Zaikin, Poland
Marek Zaremba, Canada