New Directions in Decision Support for Manufacturing

  • Abhijit Chaudhury
  • Shimon Y. Nof
  • Andrew B. Whinston
Part of the NATO ASI Series book series (volume 49)


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.


Decision Support System Temporal Logic Knowledge System Flexible Manufacture System Language System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 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
  2. 2.
    Allen, J. “Maintaining Knowledge about Temporal Intervals” Communications of ACM, Vol. 26, No 11, 1983, pp. 832–843.CrossRefMATHGoogle Scholar
  3. 3.
    Aumann, R. “Agreeing to Disagree” Annals of Statistics, Vol. 4, No. 6, 1977, pp. 1236–1239.CrossRefMathSciNetGoogle Scholar
  4. 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. 5.
    Bonczek, R., Holsapple, C. and Whinston, A. Foundations of Decision Support Systems, Academic Press, 1981.Google Scholar
  6. 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
  7. 7.
    Bullers, W., Nof, S.Y. and Whinston, A.B. “Control and Decision Support in Automatic Manufacturing Systems” AIIE Transaction, Vol. 12, No. 2, 1980, pp. 156–169.CrossRefMathSciNetGoogle Scholar
  8. 8.
    Buzacott, J.A. and Yao, D. “Flexible Manufacturing Systems: A Review of Analytical Models” Management Science, Vol. 32, No. 7, 1986, pp. 890–905.CrossRefGoogle Scholar
  9. 9.
    Chryssolouris, G. “Madema: A Decision Making Concept for CIM” CAM-1 Fourteenth Annual Meeting and Technical Conference, San-Diego, 1985.Google Scholar
  10. 10.
    Cutowsky, M.R., Russel, P.S. and Milligan, R. “The Design of Flexible Machining Cells for Small Batch Productionilli, Journal of Manufacturing Systems, Vol. 3, No. 1, 1984, pp. 39–59.CrossRefGoogle Scholar
  11. 11.
    De, S., Pan, S. and Whinston, A. “Natural Language Query Processing in a Temporal Database” Data and Knowledge Engineering, Vol. 1, No. 1, 1985, pp. 3–15.CrossRefGoogle Scholar
  12. 12.
    De, S., Nof, S.Y. and Whinston, A. “Decision Support in Computer Integrated Manufacturing”, Decision Support Systems, Vol. 1, No. 1, 1985, pp. 37–56.CrossRefGoogle Scholar
  13. 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. 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. 15.
    Hintikka, J.“Knowledge and Belief” Cornell University Press, 1962.Google Scholar
  16. 16.
    Kimemia, J.G. and Gerswin, S.B. “Flow Ooptimization in Flexible Manufacturing Systems” IJPR, Vol. 23, No. 1, 1985, pp. 81–96.CrossRefGoogle Scholar
  17. 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. 18.
    Marschak, J. and Radner, R. Economic Theory of Teams, Yale University Press, 1972.Google Scholar
  19. 19.
    Moore, J. and Whinston, A. “A Model of Decision Making with Sequential Information Acquisition: Part 1” Decision Support Systems, Vol. 2, No. 4, 1986, pp. 285–307.CrossRefGoogle Scholar
  20. 20.
    Moses, Y.O.“Knowledge in a Distributed Environment” Ph.D. Thesis, Dept. of Computer Science, Stanford University, 1986.Google Scholar
  21. 21.
    Nash, J.F. “Two-Person Cooperative Games” Econometrica, Vol. 21, No. 7, 1953, pp. 128–140.CrossRefMATHMathSciNetGoogle Scholar
  22. 22.
    Reisig, W. Petrinets: An Introduction, Springer-Verlag, New-York, 1982.Google Scholar
  23. 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. 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. 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. 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. 27.
    Turner, R. Logic for Artificial Intelligence, Ellis Horwood, U.K., 1984.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • Abhijit Chaudhury
    • 1
  • Shimon Y. Nof
    • 1
  • Andrew B. Whinston
    • 1
  1. 1.Purdue UniversityWest LafayetteUSA

Personalised recommendations