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Artificial Intelligence in Operational Research pp 311–319Cite as

A Problem-driven Approach to Expert System Development

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Abstract

Expert system technology can fairly be described as high profile at present. Yet its track record as a useful method for tackling problems is subject to widely differing views. This paper considers the domain of production planning and control, which has been described as a good application area for expert systems a domain where OR has had little success. The authors argue that mainstream expert system methodology is exploratory rather than problem-driven and thus is not suited to the domain. A problem-driven approach to expert system development is presented, an approach which makes use of soft systems methodology. The reasons for such an approach within production planning and control are discussed, and the use of soft systems methodology within the approach is reflected on.

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References

  1. K. D. Barber and R. H. Hollier (1986) The effects of computer-aided production-control systems on defined company types. Int. J. Prod. Res. 24, 311–327.

    Article  Google Scholar 

  2. V. Prabhu and M. Baker (1986) Production Management and Control. McGraw-Hill, London.

    Google Scholar 

  3. P. F. Bfstwick and K. Lockyer (1982) Quantitative Production Management. Pitman, London.

    Google Scholar 

  4. J. W. M. Bertrand and J. Wijngaard (1985) The structuring of production control systems. Int. J. Opl & Prod. Mgmt 6, 5–20.

    Article  Google Scholar 

  5. A. C. Hax and G. R. Bitran (1979) Hierarchical planning systems — a production application. In Disaggregation: Problems in Manufacturing and Service Organizations (L. Ritzman, Ed.), pp. 63–93. Martinus Nijhoff, Boston, MA.

    Chapter  Google Scholar 

  6. E. S. Buffa (1981) Research in operations management. Prod. & Inv. Mgmt 22, Third Quarter, 57–69.

    Google Scholar 

  7. J. Rosenhead (1986) Custom and practice. J. Opl Res. Soc. 37, 335–343.

    Article  Google Scholar 

  8. S. Eilon (1978) Production scheduling. In Operational Research 78: Proceedings of the Eighth IFORS International Conference on Operational Research (K. B. Haley, Ed.), pp. 237–266. North-Holland, Amsterdam.

    Google Scholar 

  9. M. S. Fox (1987) Constraint Directed Search: A Case Study of Job-Shop Scheduling. Pitman, London.

    MATH  Google Scholar 

  10. J. Hewett (1986) Commercial expert systems in North America. Presented at the Second Expert System Conference, London, October 1986.

    Google Scholar 

  11. J. M. Sepulveda and E. L. De Porter (1987) IPSS: an approach towards automated decisions in CIM systems. Computers & Industrial Engineering 13, 11–14.

    Article  Google Scholar 

  12. A. W. Smith and D. R. Hughes (1986) The control of manufacturing by information. Presented at the Second Expert System Conference, London, October 1986.

    Google Scholar 

  13. R. W. Blanning (1987) A survey of issues in expert systems for management. In Expert Systems for Business (b. G. Silverman, Ed.), pp. 24–39. Addison-Wesley, Reading, MA.

    Google Scholar 

  14. Anon. (1987) Artificial intelligence is finding its way in KSC’s steel mills/offices at an accelerated pace. Kawasaki Steel Corp. Newsletter, Nov-Dec 1987, pp. 3–4.

    Google Scholar 

  15. Anon. (1987) Artificial intelligence applied to production control systems. NKK News, June 1987, pp. 2–4.

    Google Scholar 

  16. M. Litt, J. C. H. Chung, D. C. Bond, G. G. Leininger and J. Hall (1988) A scheduling and planning expert system for multiple furnaces. Engineering Applications of Artificial Intelligence 1, 16–21.

    Article  Google Scholar 

  17. T. Lenau and L. Alting (1986) XPLAN — an expert process planning system. Presented at the Second Expert System Conference, London, October 1986.

    Google Scholar 

  18. J. Thorpe (1988) Using an expert system to monitor an automatic stock control system. Presented at the 5th Young OR Conference, Univeristy of Warwick, March 1988.

    Google Scholar 

  19. J. Browne (1988) Production activity control—a key aspect of production control. lnt. J. Prod. Res. 26, 415–427.

    Article  Google Scholar 

  20. D. A. Waterman (1986) A Guide to Expert Systems. Addison-Wesley, Reading, MA.

    Google Scholar 

  21. A. Kusiak and M. Chen (1988) Expert systems for planning and scheduling manufacturing systems. Eur. J. Opl Res. 34, 113–130.

    Article  MathSciNet  Google Scholar 

  22. P. H. Winston (1987) Artificial intelligence: a perspective. In AI in the 1980s and Beyond: An MIT Survey (W. E. L. Grimson and R. S. Patil, Eds), pp. 1–13. MIT Press, Cambridge, MA.

    Google Scholar 

  23. J. Bader, J. Edwards, C. Harris-Jones and D. Hannaford (1988) Practical engineering of knowledge-based systems. Information and Software Technology 30, 266–277.

    Article  Google Scholar 

  24. J. McDermott (1981) R1: the formative years. AI Magazine, Summer 1981, pp. 21–29.

    Google Scholar 

  25. E. Soloway, J. Bachant and K. Jensen (1987) Assessing the maintainability of XCON-in-RIME. In Expert Systems for Business (B. G. Silverman, Ed.), pp. 24–39. Addison-Wesley, Reading, MA.

    Google Scholar 

  26. D. G. Bobrow, S. Mlttal and M. J. Stefik (1986) ES: perils & promise. Comm. ACM 29, 880–894.

    Article  Google Scholar 

  27. A. C. Beerel (1987) Expert Systems: Strategic Implications and Applications. Ellis Horwood, Chichester.

    Google Scholar 

  28. R. Budde (Ed.) (1984) Approaches to Prototyping. Springer Verlag, Berlin.

    Google Scholar 

  29. R. M. O’Keefe (1985) Expert systems and operational research—mutual benefits. J. Opl Res. Soc. 36, 125–129.

    Article  Google Scholar 

  30. A. Kraft (1987) Artificial intelligence: next generation solutions. In Intelligent Knowledge-Based Systems: An Introduction (T. O’Shea, J. Self and G. Thomas, Eds), pp. 110–121. Harper & Row, London.

    Google Scholar 

  31. M. Thomas (1987) Structured techniques for the development of expert systems. In Research and Development in Expert Systems IV (D. S. Moralee, Ed.), pp. 258–266. Cambridge University Press.

    Google Scholar 

  32. P. B. Checkland (1981) Systems Thinking, Systems Practice. Wiley, Chichester.

    Google Scholar 

  33. M. L. G. Shaw and B. R. Gainfs (1987) An interactive knowledge-elicitation technique using personal construct technology. In Knowledge Acquisition for Expert Systems: A Practical Handbook (A. L. Kidd, Ed.), pp. 109–136. Plenum, New York.

    Chapter  Google Scholar 

  34. R. G. Moll (1986) A method for analysing requirements for possible expert system implementations. Presented at the Second Expert System Conference, London, October 1986.

    Google Scholar 

  35. R. K. Miles (1988) Combining ‘soft’ and ‘hard’ systems practice: grafting or embedding. J. appl. Syst. Anal. 15, 55–60.

    Google Scholar 

  36. P. B. Checkland (1988) Future directions for the development of systems ideas. Presented at the Systems Conference, Lancaster, July 1988.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Aston University, Indonesia

    M. A. Rodger & John S. Edwards

Authors
  1. M. A. Rodger
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  2. John S. Edwards
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Editor information

Editors and Affiliations

  1. Athens University of Economics and Business, Greece

    Georgios I. Doukidis

  2. London School of Economics and Political Science, UK

    Ray J. Paul

Copyright information

© 1992 Operational Research Society Ltd

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Rodger, M.A., Edwards, J.S. (1992). A Problem-driven Approach to Expert System Development. In: Doukidis, G.I., Paul, R.J. (eds) Artificial Intelligence in Operational Research. Palgrave, London. https://doi.org/10.1007/978-1-349-12362-9_29

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  • DOI: https://doi.org/10.1007/978-1-349-12362-9_29

  • Publisher Name: Palgrave, London

  • Print ISBN: 978-1-349-12364-3

  • Online ISBN: 978-1-349-12362-9

  • eBook Packages: EngineeringEngineering (R0)

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