Opportunities and Challenges to Integrate Artificial Intelligence Into Manufacturing Systems: Thoughts From a Panel Discussion [Opinion]

Ilya Kovalenko, Kira Barton, James Moyne, Dawn M. Tilbury

Research output: Contribution to journalReview articlepeer-review

3 Scopus citations

Abstract

Rapid advances in artificial intelligence (AI) have the potential to significantly increase productivity, quality, and profitability in future manufacturing systems. (Caveat: The panel did not attempt to disentangle artificial intelligence from machine learning and used the two terms loosely interchangeably during the discussion.) Traditional mass production will give way to personalized production, with each item made to order, at the low cost and high quality consumers have come to expect. Manufacturing systems will have the intelligence to be resilient to multiple disruptions, from small-scale machine breakdowns to large-scale natural disasters. Products will be made with higher precision and lower variability. While gains have been made toward the development of these factories of the future, many challenges remain to fully realize the vision shown in Figure 1.

Original languageEnglish (US)
Pages (from-to)109-112
Number of pages4
JournalIEEE Robotics and Automation Magazine
Volume30
Issue number2
DOIs
StatePublished - Jun 1 2023

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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