• DocumentCode
    948921
  • Title

    Knowledge-based project control employing heuristic optimisation

  • Author

    Barber, T.J. ; Boardman, J.T.

  • Author_Institution
    Brighton Polytechnic, Information Technology Research Institute, Faculty of Information Technology, Brighton, UK
  • Volume
    135
  • Issue
    8
  • fYear
    1988
  • fDate
    11/1/1988 12:00:00 AM
  • Firstpage
    529
  • Lastpage
    538
  • Abstract
    One particular problem of great commercial significance which professional project engineers confront is that of expeditious control of resources to achieve timely completion of complex plans. A wealth of expertise exists, little if any of which has been formalised, so as to permit the development of computer-based aids for intelligent project control. The paper describes a heuristic algorithm which has been developed in close consultation with expert project engineers. It has been integrated within an intelligent knowledge-based system (IKBS) and the resultant computer tool evaluated in a real-world project management situation. The algorithm incorporates six variables which have been carefully formulated to assess the merit of expediting selected activities in project plans within a hierarchical framework of control strategies. An empirical study of these heuristics, taken in conjunction with the IKBS, is presented, and some parallels are drawn with an expert project engineeer´s performance on a typical project plan.
  • Keywords
    CAD; engineering computing; expert systems; optimisation; project engineering; project support environments; heuristic optimisation; intelligent knowledge-based system; project engineering;
  • fLanguage
    English
  • Journal_Title
    Physical Science, Measurement and Instrumentation, Management and Education - Reviews, IEE Proceedings A
  • Publisher
    iet
  • ISSN
    0143-702X
  • Type

    jour

  • DOI
    10.1049/ip-a-1.1988.0083
  • Filename
    4648611