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Research and Models for Automated Manufacturing

Author

Listed:
  • Kalyan Singhal

    (Merrick School of Business, University of Baltimore, 1420 N. Charles Street, Baltimore, Maryland 21201)

  • Charles H. Fine

    (Sloan School of Management, Massachusetts Institute of Technology, E53-390, Cambridge, Massachusetts 02139)

  • Jack R. Meredith

    (College of Business Administration, 1118 Crosley Tower (№130), University of Cincinnati, Cincinnati, Ohio 45221)

  • Rajan Suri

    (Department of Industrial Engineering, University of Wisconsin, 1513 University Avenue, Madison, Wisconsin 53706)

Abstract

Automated manufacturing systems are complex integrated systems. MS/OR models, because of their ability to offer insights into the nature of the interaction among components in complex systems, can play a major role in the design, operation, and control of complex automated manufacturing systems. With today's knowledge, it is virtually impossible to design and install a system consisting of hardware, software, data-base management, communication technology, and human resources in which each of these five subsystems can fully exploit the other four. This limitation provides considerable scope for learning and a continuing role for research and models during steady-state operation.

Suggested Citation

  • Kalyan Singhal & Charles H. Fine & Jack R. Meredith & Rajan Suri, 1987. "Research and Models for Automated Manufacturing," Interfaces, INFORMS, vol. 17(6), pages 5-14, December.
    • Handle: RePEc:inm:orinte:v:17:y:1987:i:6:p:5-14
    DOI: 10.1287/inte.17.6.5
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    Citations

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    Cited by:

    1. Liberatore, Matthew J., 1997. "Automation, AI and OR: in search of the synergy and publication priorities," European Journal of Operational Research, Elsevier, vol. 99(2), pages 248-255, June.

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