Article ID: | iaor19908 |
Country: | United Kingdom |
Volume: | 40 |
Issue: | 12 |
Start Page Number: | 1069 |
End Page Number: | 1077 |
Publication Date: | Dec 1989 |
Journal: | Journal of the Operational Research Society |
Authors: | Edwards John S., Rodger M.A. |
Keywords: | artificial intelligence: expert systems |
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 Operational Research 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.