A knowledge-based system for construction site level facilities layout

Kwok Wing Chau, M. Anson

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

21 Citations (Scopus)

Abstract

The choice of good construction site layout is inherently difficult, yet has a significant impact on both monetary and time saving. It is desirable to encapsulate systematically the heuristic expertise and empirical knowledge into the decision making process by applying the latest artificial intelligence technology. This paper describes a prototype knowledge-based system for the construction site layout, SITELAYOUT. It has been developed using an expert system shell VISUAL RULE STUDIO, which acts as an ActiveX Designer under the Microsoft Visual Basic programming environment, with hybrid knowledge representation approach under object-oriented design environment. By using custom-built interactive graphical user interfaces, it is able to assist designers by furnishing with much needed expertise in this planning activity. Increase in efficiency, improvement, consistency of results and automated record keeping are among the advantages of such expert system. Solution strategies and development techniques of the system are addressed and discussed.
Original languageEnglish
Title of host publicationDevelopments in Applied Artificial Intelligence - 15th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2002, Proceedings
PublisherSpringer Verlag
Pages393-402
Number of pages10
ISBN (Print)3540437819, 9783540437819
Publication statusPublished - 1 Jan 2002
Event15th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2002 - Cairns, Australia
Duration: 17 Jun 200220 Jun 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2358
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2002
CountryAustralia
CityCairns
Period17/06/0220/06/02

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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