Abstract
As manufacturing systems have gravitated toward the Computer Integrated Manufacturing (CIM) ideal, they have become more dependent on capturing relevant data, storing it, operating on it and passing it between the members of the manufacturing system. As the systems become larger, this means increasing amounts of data to manage, higher complexity of operations on these data, higher number of requests and a need for significantly higher reliability and availability.
A model is presented here which strives to handle these highly demanding data management tasks for integrated manufacturing systems. A distributed system of cooperating, consistent, knowledge base sites is proposed that uses a semi-intelligent mechanism to predict the user processes in timing and data need. Data need is anticipated and the prepared information is stored in object frames, ready for quick access by the user. Test runs of a prototype version of this data storage and retrieval strategy demonstrate its utility.
The research described here was supported by Purdue University’s Engineering Research Center for Intelligent Manufacturing Systems with funding from NSF Grant CDR 8500022.
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References
Barkmeyer, E., M. Mitchell, K.P. Mikkilineni, S.Y.W. Su and H. Lam: An architecture for distributed data management in computer integrated manufacturing, 1986.
Lillehagen, F.: The product information system and data bases in mechanical CAE, Robotics & Computer Integrated Manufacturing, vol. 1, no. 3 /4, pp. 255–260, 1984.
Spur, G.: Growth, crises and future of the factory, Robotics & Computer Integrated Manufacturing, vol. 1, no. 1, pp. 21–37, 1984.
Hatvany, J.: Intelligence and cooperation in heterarchic manufacturing systems, Robotics & Computer Integrated Manufacturing, vol. 2, no. 2, pp. 101–104, 1985.
Solberg, J.J., D.C. Anderson, M.M. Barash and R.P. Paul: Factories of the future: Defining the target. Report to the National Science Foundation, Purdue University, January 1985.
Shaw, M.J. and A.B. Whinston: Task bidding and distributed planning in flexible manufacturing, 2nd Conference on Artificial Intelligence Applications, Miami Beach, Florida, pp. 184–189, 1985.
McLean, C.R., M. Mitchell and E. Barkmeyer: Distributed computing architecture for small batch manufacturing, IEEE Spectrum, May 1983.
Spur, G.: Rechnerunterstuetzte zeichnungserstellung und arbeitsplanung, ZWF-Lehrblaetter, Zeitschrift fuer wirtschaftliche Fertigung, pp. 1–98, 1979–1980.
Nau, D.S. and T.C. Chang: Hierarchical representation of problem-solving knowledge in a frame-based process, Journal of Intelligent Systems, February 1986.
Ray, S.R.: A knowledge representation scheme for processes in an automated manufacturing environment, Technical Report, National Bureau of Standards, 1986.
Minsky, M.: A framework for representing knowledge, in: The psychology of computer vision, (P. Winston, ed.), McGraw-Hill, Inc., pp. 211–277, 1975.
Fikes, R. and T. Kehler: The role of frame-based representation in reasoning. Communications of ACM, vol. 28, no. 9, pp. 904–920, September 1985.
Finin, T.: Understanding frame languages, Implementing PFL, AI Expert, pp. 51–56, December 1986.
Garcia-Molina, H.: Performance of udate algorithms for replaced data in a distributed data base. Ph.D. Dissertation, Stanford University, 1979.
Bernstein, P.A. and N. Goodman: Fundamental algorithms for concurrency control in distributed database systems. Technical Report, February 1980.
Bhargava, B.: Resilient concurrency control in distributed data base systems. IEEE Transactions on Reliability, vol. R-32, no. 5, December 1983.
Liskov, B.: On linguistic support for distributed programs. Proceedings 9th ACM SIGAT–SIGPLAN Symph. Principles of Programming, Albuquerque, NM, pp. 7–19, January 1982.
Albus, J.S., A.J. Barbera and R.N. Nagel: Theory and practice of hierarchical control. Twenty-third IEEE Computer Society International Conference, pp. 18–15, 1981.
Popek, Gerald J. and Bruce J. Walker: The LOCUS distributed system architecture. The MIT Press, Computer Systems Series, 1984.
Hsu, Chen and Craig Skevington: Integration of data and knowledge in manufacturing enterprises: A conceptual framework. Journal of Manufacturing Systems, vol. 6, no. 6, pp. 277–285, 1987.
Hsu, Cheng and Craig Skevington: Manufacturing architecture for integrated systems. Proceedings of the International Conference on the Manufacturing Science and Technology of the Future, MSTF’87, Boston, Ma, pp. 165–168, 1987.
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Weber, D.M., Moodie, C.L. (1989). Distributed, Intelligent Information System for Automated, Integrated Manufacturing Systems. In: Nof, S.Y., Moodie, C.L. (eds) Advanced Information Technologies for Industrial Material Flow Systems. NATO ASI Series, vol 53. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-74575-1_4
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DOI: https://doi.org/10.1007/978-3-642-74575-1_4
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