Research and Models for Automated Manufacturing

Kalyan Singhal, Charles H. Fine, Jack R. Meredith and Rajan Suri
Additional contact information
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

Interfaces, 1987, vol. 17, issue 6, 5-14

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.

Keywords: facilities/equipment planning; production/scheduling (search for similar items in EconPapers)
Date: 1987
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