Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1238
PIRA download icon_1.1View/Download Full Text
Title: A knowledge-based system for construction site level facilities layout
Authors: Chau, KW 
Anson, M
Issue Date: 2002
Source: In T Hendtlas & M Ali (Eds.), Developments in applied artificial intelligence : 15th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2002, Cairns, Australia, June 2002 : proceedings, p. 393-402. Berlin ; New York: Springer, 2002
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.
Keywords: Knowledge-based systems
Construction site layout
Site planning
Publisher: Springer
ISBN: 978-3-540-43781-9
DOI: 10.1007/3-540-48035-8_39
Rights: © Springer-Verlag Berlin Heidelberg 2002. The original publication is available at http://www.springerlink.com.
Appears in Collections:Book Chapter

Files in This Item:
File Description SizeFormat 
LNAI2.pdfPre-published version132.5 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

150
Last Week
0
Last month
Citations as of Mar 24, 2024

Downloads

301
Citations as of Mar 24, 2024

SCOPUSTM   
Citations

22
Last Week
0
Last month
Citations as of Mar 29, 2024

WEB OF SCIENCETM
Citations

20
Last Week
0
Last month
0
Citations as of Mar 28, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.