Scientific Results

  • ID:
    publications-4721
  • Type:
    article
  • Year:
    2013
  • Authors:
    Lee, Jay and Lee, Jay and Lee, Jay and Lee, Jay and Lapira, Edzel and Lapira, Edzel and Yang, Shanhu and Yang, Shanhu and Kao, Ann and Kao, Ann
  • Title:
    Predictive Manufacturing System - Trends of Next-Generation Production Systems
  • Venue/Journal:
    IFAC Proceedings Volumes
  • DOI:
    10.3182/20130522-3-br-4036.00107
  • Research type:
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  • Abstract:
    With rising competition abroad, US manufacturers are looking to reinvest manufacturing capabilities to counterbalance costs by increasing productivity. Being a dynamic and technologically advanced industry, as well as constantly to meet changing market demands, manufacturers are now forced to evolve strategies to manage larger capacity with faster speed, and more sophisticated machinery systems. This paper discusses the principles of predictive manufacturing system as a strategy to allow manufacturing industry to increase competitiveness through a highly transparent and worry-free manufacturing process, as well as an analytic framework how it can be implemented using a coupled-model approach.
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