Intelligent systems in manufacturing: Current developments and future prospects

Farid Meziane, Sunil Vadera, Khairy Kobbacy, Nathan Proudlove

Research output: Contribution to journalArticlepeer-review


Global competition and rapidly changing customer requirements are demanding increasing changes in manufacturing environments. Enterprises are required to constantly redesign their products and continuously reconfigure their manufacturing systems. Traditional approaches to manufacturing systems do not fully satisfy this new situation. Many authors have proposed that artificial intelligence (AI) will bring the flexibility and efficiency needed by manufacturing systems. This paper is a review of AI techniques used in manufacturing systems. The paper first defines the components of a simplified intelligent manufacturing systems (IMS), the different AI techniques to be considered and then shows how these AI techniques are used for the components of IMS.
Original languageEnglish
Pages (from-to)218-238
Number of pages20
JournalIntegrated Manufacturing Systems
Issue number3
Publication statusPublished - 2000


  • Algorithms
  • Artificial intelligence
  • Knowledge-based systems
  • Manufacturing systems
  • Neural networks


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