Skip to main content

Abstract

One of the areas where artificial intelligence has made its biggest gain is Expert Systems. An expert system is a software system which displays expert behavior in a particular domain of application. A human expert is a rare commodity. The use of expert systems enables this rare commodity to be shared by many centers of demand.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ming—Yang Chern, “An Efficient Scheme for Monitoring Sensory Conditions in Robot Systems,” IEEE Int. Conf. on Robotics and Automation, 1984, pp 298–304.

    Google Scholar 

  2. Maria Gini, Rajkumar Doshi, Marc Gluch, Richard Smith, and Imran Zualkernan, “The role of knowledge in the Architecture of a Robust Robot Control,” IEEE Int. Conf. on Robotics and Automation, 1985, pp 561–567.

    Google Scholar 

  3. R. E. Smith and M. Gini, “Robot Tracking and Control Issues in an Intelligent Error Recovery System,” IEEE Int. Conf. on Robotics and Automation, 1986, pp 1070–1075.

    Google Scholar 

  4. G. Hirzinger, and J. Dietrich, “Multisensory Robots and Sensor—Based Path Generation,” IEEE Int. Conf. on Robotics and Automation, 1986, pp 1991–2001.

    Google Scholar 

  5. B. A. Auld, and A. J. Bahr, “A Novel Multifunction Robot Sensor,” IEEE Int. Conf. on Robotics and Automation, 1986, pp 1791–1797.

    Google Scholar 

  6. Miczo, A., “Digital Logic Testing and Simulation,” Harper and Row Publishers, Inc., 1986. An Operations Analysis Expert System for Fiberglass Manufacturing

    Google Scholar 

  7. R. Abramczyk, OASES: An Expert System for Operations Analysis, M.S. Thesis, Dept. of Computer Science, Univ. of South Carolina, 1986.

    Google Scholar 

  8. G. Biswas, R. Abramczyk, and M. Oliff, “OASES: An Expert System for Operations Analysis–The System for Cause Analysis”, IEEE Transactions on Systems, Man, and Cybernetics, vol. SMC-17, pp. 133–145, 1987.

    Google Scholar 

  9. G. Biswas and T.S. Anand, “Using the Dempster-Shafer Scheme in a Diagnostic Expert System Shell”, Third Workshop on Uncertainty in Artificial Intelligence, (sponsored by AAAI), Seattle, WA, pp. 98–105, 1987.

    Google Scholar 

  10. G. Biswas, M. Oliff, and R. Abramczyk, “OASES: An Application in Fiberglass Manufacturing”, to appear, Intl. Journal of Expert Systems - Research and Applications, 1988.

    Google Scholar 

  11. B.G. Buchanan and E.H. Shortliffe, eds., Rule-Based Expert Systems: The MYCIN Experiments of the Stanford HPP, Addison-Wesley, Reading, MA, 1984.

    Google Scholar 

  12. R.B. Chase and N.J. Aquilano, Production and Operations Management, R.O. Irwin, Inc., Illinois, 1977.

    Google Scholar 

  13. G. Kahn and J. McDermott, “The MUD System”, IEEE Expert, vol. 1, pp. 23–35, Spring 1986.

    Google Scholar 

  14. R.W. Schmenner, Production/Operations Management:Concepts and Situations, Scientific Research Associates, Chicago, 1984.

    Google Scholar 

  15. Isermann, R.: Process fault detection based on modeling and estimation methods–a survey. Automatica 20 (1984) 384–404.

    Article  Google Scholar 

  16. Frank, P.M.: Fault diagnosis in dynamic systems via state estimation - a survey. First european workshop on fault diagnostics, reliability and related knowledge-based approaches. Rhodes, Greece 1986.

    Google Scholar 

  17. Cecchin, T.; Ragot, J.; Sauter, D.: A three level strategy for fault detection and diagnosis in industrial processes. First european workshop on fault diagnostics, reliability and related knowledge-based approaches. Rhodes, Greece 1986.

    Google Scholar 

  18. Teicholz, E., ed., “CAD/CAM Handbook”, McGraw-Hill, New York, N.Y., 1985, pp. 4.7 — 4. 8.

    Google Scholar 

  19. Chasen, S.H. and J.W. Dow, “The Guide for the Evaluation and Implementation of CAD/CAM Systems”, CAD/CAM Decisions, Atlanta, Georgia, 1979, 351 pages.

    Google Scholar 

  20. Level 5 Research Inc., 4980 SA1A, Melbourne Beach, Florida.

    Google Scholar 

  21. Townsend, C. and D. Feucht, “Designing and Programming Personal Expert Systems”, TAB Books Inc., Blue Ridge Summit, Pennsylvania, 1986, 258 pages.

    Google Scholar 

  22. Wong, W.G., “PROLOG, A Language for Artificial Intelligence”, PC Magazine, October 1986, pp. 247 — 263.

    Google Scholar 

  23. Arity Corp., 358 Baker Ave., Concord, Massachusetts.

    Google Scholar 

  24. Philip Klahr and D.A.Waterman, Expert Systems Techniques, Tools, and Applications, Addison-Wesley, Reading, MA, 1986.

    Google Scholar 

  25. D.A.Waterman, A Guide to Expert Systems, Addison-Wesley, Reading, Massachusetts, 1986.

    Google Scholar 

  26. R.D.Issac et.al, Technical Trade-off Issues in Clean Room Design, Solid State Technology, Dec 1986, pp. 53–58.

    Google Scholar 

  27. Gordon C. Armour and Elwood S. Btlffa, A Heuristic Algorithm and Simulation Approach to Relative Location of Facilities, Operations and Systems Analysis - A simulation Approach, Allyn and Bacon, Inc., Boston, 1974., pp. 292–307.

    Google Scholar 

  28. Uniform Building Code, International Conference of Building Officials, 1985, pp. 901–911.

    Google Scholar 

  29. T. J. Kowalski and D. E. Thomas, The VLSI Design Automation Assistant: Prototype System, Proc. of IEEE 20th Design Automation Conference, 1983

    Google Scholar 

  30. P. A. Subrahmanyam, Synapse: An Expert System for VLSI Design, IEEE Com-puter, July, 1986

    Google Scholar 

  31. D.C. Brown and B. Chandrasekaran, Knowledge and Control for a Mechanical Design Expert System, IEEE COMPUTER, 1986

    Google Scholar 

  32. J. R. Dixon and M. K. Simmons, Expert Systems for Design: Standard V-Belt Drive Design as an Example of the Design-Evaluate-Redesign Architecture, Proc. of ASME Computers in Engineering Conference, 1984

    Google Scholar 

  33. S. Mittal, C. L. Dym and M. Morjaria, A Knowledge-Based Framework for Design, Proc. of AAAI-86

    Google Scholar 

  34. J. McDermott, R1: A Rule-Based Configurer of Computer Systems, Artificial Intelligence, 19, 1982

    Google Scholar 

  35. Y. Descotte and J.- C. Latombe, Making Compromises among Antagonist Constraints in a Planner, Artificial Intelligence, 27, 1985

    Google Scholar 

  36. O. Eliyahu, L. Zaidenberg, and M. Ben-Bassat, CAMEX - An Expert System For Process Planning On CNC Machines, Proc. of AAAI-87

    Google Scholar 

  37. A. J. Medland, The Computer-Based Design Process. 1. Engineering design-data processing I. Kogan Page Ltd, 1986

    Google Scholar 

  38. B. Chandrasekaran, Generic Tasks in Knowledge-based Reasoning: High-Level Building Blocks for Expert System Design, IEEE expert, 1984

    Google Scholar 

  39. Y. Nagai, Towards a Constraint Description and Its Application Mechanism, Proc. of 35th Annual Convention IPS Japan, 1987 (in Japanese)

    Google Scholar 

  40. K. Inoue, Y. Nagai, Y. Fujii, S. Imamura, and T. Kojima, Analysis of the Design Process of Machine Tools — Example of a Machine Unit for Lathes - (in Japanese), ICOT-Technical Memorandum (to appear)

    Google Scholar 

  41. Choi, B.K., Barash, M.M., and Anderson, D.C., “Automatic Recognition of Machined Surfaces from a 3D Solid Model,” Computer-Aided Design, Vol. 16, No. 2, pp. 81–86, March 1984.

    Article  Google Scholar 

  42. Woo, T.C., “Interfacing solid modeling to CAD and CAM: Data Structures and algorithms for decomposing a solid”, in Computer Integrated Manufacturing 1988, edited by Miguel R. Martinez, and M.C. Leu, New York, pp. 39–45, November 1983.

    Google Scholar 

  43. Yoshiura, H., Fujimura, K., and Kunii, T.L., “Top-Down Construction of 3-D Mechanical Object Shapes from Engineering Drawings”, Computer, pp. 52–89, 1984.

    Google Scholar 

  44. Dixon, J.R., Libardi, E.C., Luby, S.C., Nielsen, E.H., Jones, C.D., and Simmons, M.K., ‘Knowledge representation for Mechanical Design Systems: Issues and Examples,“ Proceedings, Society of Automotive Engineers Spring Conference, Chicago, Ill., March 1986.

    Google Scholar 

  45. Tsatsoulis, C. and Kashyap, R.L., “A Methodology for the implementation for knowledge based system in Process Planning,” the American Association of Artificial Intelligence, Workshop on AI in Manufacturing, August,1986.

    Google Scholar 

  46. Randall, D., “Meta-Rules: Reasoning about Control”, Artificial Intelligence, pp. 179–222, 1980.

    Google Scholar 

  47. Randall, D., “Content Reference: Reasoning about Rules,” Artificial Intelligence, pp 223–259, 1980.

    Google Scholar 

  48. Braila, J.G., “HANDBOOK of Product Design for Manufacturing,” McGraw-Hill Book Company, 1986.

    Google Scholar 

  49. Giarratano, J. C., CLIPS User’s Guide, A. I. Section, NASA/JSC, Houston, September, 1986.

    Google Scholar 

  50. Brooke, T. M., “Cosmic: CLIPS-Software Review”, AI Expert Magazine, vol. 3, No. 4, April, 1988, pp. 71–73.

    Google Scholar 

  51. JR3, Universal Force-Moment Sensor System, Operation Manual, JR3, Inc., CA, 1985.

    Google Scholar 

  52. Fu, K. S., Gonzalez, R. C. and Lee, C. S. G., Robotics: Control, Sensing, Vision, and Intelligence, McGraw Hill Book Company, New York, 1987, pp. 323–325.

    Google Scholar 

  53. Cheatham, J. B., Wu, C. K., Chen, Y. C. and Cleghorn, J. F., “Interpretation of Robot Vision System Images via an Expert System”, 1988 ASME Int. Computers in Engineering Conf., San Francisco, July 31-August 3, 1988.

    Google Scholar 

  54. Kaimann, R.A.; A fallacy of EOQ’ing. Production and Inventory Management, Vol. 9, 1st Qtr., 1968.

    Google Scholar 

  55. Kaimann, R.A.; Revisiting a fallacy of EOQ’ing. Production and Inventory Management, Vol. 9, 4th Qtr, 1968.

    Google Scholar 

  56. Kaimann, R.A.; EOQ versus dynamic programming-which one to use for inventory ordering. Production and Inventory Management, Vol. 10, 4th Qtr, 1969.

    Google Scholar 

  57. Berry, W.L.; Lot-sizing Procedures for requirements planning systems: A framework for analysis. Production and Inventory Management, 2nd Qtr, 1972.

    Google Scholar 

  58. Karni, R.; A study of Lot Sizing Algorithms. IIE Transactions, December 1986.

    Google Scholar 

  59. Thesen, A.; Ostberg, O.; Lei, L.; Knowledge Acquisition for Expert Systems: A Survey and Analysis. Technical Report 87–3, Department of Industrial Engineering, University of Wisconsin-Madison, 1987.

    Google Scholar 

  60. Waterman, D.A.; A Guide to Expert Systems. Addison Wesley, Massachusetts, 1986.

    Google Scholar 

  61. Weiss, S.M.; and Kulikowski, C.A.; A Practical Guide to Designing Expert Systems. Rowman and Allanheld, USA, 1984.

    Google Scholar 

  62. Dagli, C.H.; Meral, F.S.; Multi-level lot-sizing heuristics, in, Toward the Factory of the Future. (H.J. Bullinger and H.J. Warnecke, editors), Springer Verlag, Berlin, 1985.

    Google Scholar 

  63. Steffen M. and Greene T.,“ Automating the Scheduling of Parallel Machines”, SME Autofact Conference, November 1986.

    Google Scholar 

  64. Fox, M. et al., “ISIS: A Constraint Directed Reasoning Approach to Job Shop Scheduling” Carnegie-Mellon University TR-83–8, June 21, 1983.

    Google Scholar 

  65. Greene, T. and Sadowski, R., “Cellar Manufacturing Control”, Journal of Manufacturing Systems, Vol. 2 No. 2, 1983.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1989 Springer-Verlag Berlin, Heidelberg

About this paper

Cite this paper

Vishnubhotla, S.R. et al. (1989). Expert Systems. In: Prasad, B., Dwivedi, S.N., Irani, K.B. (eds) CAD/CAM Robotics and Factories of the Future. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-52323-6_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-52323-6_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-52325-0

  • Online ISBN: 978-3-642-52323-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics