AI and machine learning techniques for managing complexity, changes and uncertainties in manufacturing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

The application of pattern recognition (PR) techniques, expert systems (ESs), artificial neural networks (ANNs), fuzzy systems (FSs) and nowadays hybrid artificial intelligence (AI) techniques in manufacturing can be regarded as consecutive elements of a process started two decades ago. On the one hand, the paper outlines the most important steps of this process and introduces some new results with special emphasis on hybrid AI and multistrategy machine learning (ML) approaches. On the other hand, agent-based (holonic) systems are highlighted as promising tools for managing complexity, changes and disturbances in production systems. Further integration of approaches is predicted.

Original languageEnglish
Title of host publicationIFAC Proceedings Volumes (IFAC-PapersOnline)
PublisherIFAC Secretariat
Pages119-130
Number of pages12
Volume15
Edition1
Publication statusPublished - 2002
Event15th World Congress of the International Federation of Automatic Control, 2002 - Barcelona, Spain
Duration: Jul 21 2002Jul 26 2002

Other

Other15th World Congress of the International Federation of Automatic Control, 2002
CountrySpain
CityBarcelona
Period7/21/027/26/02

Fingerprint

Artificial intelligence
Learning systems
Fuzzy systems
Expert systems
Pattern recognition
Neural networks
Uncertainty

Keywords

  • Artificial intelligence
  • Intelligent manufacturing systems
  • Machine learning

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Monostori, L. (2002). AI and machine learning techniques for managing complexity, changes and uncertainties in manufacturing. In IFAC Proceedings Volumes (IFAC-PapersOnline) (1 ed., Vol. 15, pp. 119-130). IFAC Secretariat.

AI and machine learning techniques for managing complexity, changes and uncertainties in manufacturing. / Monostori, L.

IFAC Proceedings Volumes (IFAC-PapersOnline). Vol. 15 1. ed. IFAC Secretariat, 2002. p. 119-130.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Monostori, L 2002, AI and machine learning techniques for managing complexity, changes and uncertainties in manufacturing. in IFAC Proceedings Volumes (IFAC-PapersOnline). 1 edn, vol. 15, IFAC Secretariat, pp. 119-130, 15th World Congress of the International Federation of Automatic Control, 2002, Barcelona, Spain, 7/21/02.
Monostori L. AI and machine learning techniques for managing complexity, changes and uncertainties in manufacturing. In IFAC Proceedings Volumes (IFAC-PapersOnline). 1 ed. Vol. 15. IFAC Secretariat. 2002. p. 119-130
Monostori, L. / AI and machine learning techniques for managing complexity, changes and uncertainties in manufacturing. IFAC Proceedings Volumes (IFAC-PapersOnline). Vol. 15 1. ed. IFAC Secretariat, 2002. pp. 119-130
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