New Directions in Decision Support for Manufacturing
Accepting the view of a decision support system (DSS) as being composed of three generic components (the language system, the knowledge system, and the problem processing system), we investigate several issues relating to a flexible manufacturing system (FMS). that have an impact on the design of the three DSS components and their interrelationships.
It is observed that an FMS is a distributed decision making structure composed of autonomous cells. Concepts and methods from economics and distributed computation together with a language and formalism supplied by modal and temporal logic can constitute an effective set of representation and problem processing means for building decision support systems for FMS.
KeywordsDrilling Encapsulation Nash Decen Dispatch
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- 1.Akella, R., Choong, Y. and Gerhwin, S. “Performances of Hierarchical Production Scheduling Policy” IEEE Transaction, CHMT Vol. 3, 1984, pp. 225–240.Google Scholar
- 4.Barash, M.M., et al. “Optimal Planning of Computerized Manufacturing System” Proceedings of the Eighth NSF Grantees Conference on Production Research and Technology, 1981.Google Scholar
- 5.Bonczek, R., Holsapple, C. and Whinston, A. Foundations of Decision Support Systems, Academic Press, 1981.Google Scholar
- 6.Bui, T. and Jarke, M.“Communication Requirement of a Group Decision Support System” Proceedings of the Nineteenth Hawaii Conference on System Sciences, 1986, pp. 524-533.Google Scholar
- 9.Chryssolouris, G. “Madema: A Decision Making Concept for CIM” CAM-1 Fourteenth Annual Meeting and Technical Conference, San-Diego, 1985.Google Scholar
- 13.Gray, J.N. “An Approach to Decentralized Computer Systems” IEEE Transaction on Software Engineering, Vol. SE 12, No; 6, 1986, pp. 684–692.Google Scholar
- 14.Halpern, J.Y. “Reasoning About Knowledge: An Overview” Proceedings on Theoretical Aspects of Reasoning about Knowledge, Monterey, California, 1986, pp. 1–17.Google Scholar
- 15.Hintikka, J.“Knowledge and Belief” Cornell University Press, 1962.Google Scholar
- 17.Lokshin, A., et al.“Towards a Hierarchical Robot Control Language, ” IEEE Workshop on Languages for Automation, Singapore, 1986, pp. 3-8.Google Scholar
- 18.Marschak, J. and Radner, R. Economic Theory of Teams, Yale University Press, 1972.Google Scholar
- 20.Moses, Y.O.“Knowledge in a Distributed Environment” Ph.D. Thesis, Dept. of Computer Science, Stanford University, 1986.Google Scholar
- 22.Reisig, W. Petrinets: An Introduction, Springer-Verlag, New-York, 1982.Google Scholar
- 23.Shaw, M.J.“The Design of a Distributed Knowledge-based System for the Intelligent Manufacturing System” Ph.D. Thesis, Krannert Graduate School of Management, Purdue University, 1984.Google Scholar
- 24.Shaw, M.J. and Whinston, A. “A Distributed Knowledge-based Approach to Flexible Automation: The Contract-net Framework” forthcoming in International Journal of Flexible Manufacturing Systems, Vol. 1, No. 1, 1987.Google Scholar
- 25.Stecke, K.E. and Solberg, J.J.“The Optimality of Unbalancing both Work-loads and Machine Group Sizes in Closed Queueing Networks of Multi-server Queues”, O.R., Vol. 33, No. 7, 1985, pp. 882-910.Google Scholar
- 26.Tortora, G., et al.“Iconlisp: An Example of a Visual Programming Language” IEEE Computer Society Workshop in Visual Languages, Dallas, 1986, pp. 22-25.Google Scholar
- 27.Turner, R. Logic for Artificial Intelligence, Ellis Horwood, U.K., 1984.Google Scholar