A case-based reasoning approach to application of value engineering methodology in the construction industry
Nader Naderpajouh and
Abbas Afshar
Construction Management and Economics, 2008, vol. 26, issue 4, 363-372
Abstract:
A key point in value engineering (VE) methodology is to acquire and apply knowledge of the assorted fields. An appropriate definition of VE expert knowledge flow could, therefore, yield more productive VE workshops. A conceptual expert case-based reasoning (CBR) framework is introduced in this paper to form a coherent basis for the provision of practically suitable VE expert models. The proposed framework outlines knowledge entities and their relations in the VE workshop. The model benefits from a fuzzy approach to handle uncertainties in the evaluation phase of the methodology. In addition, a computer program is devised, based on the proposed framework, using Borland Delphi 7.0. It comprises an interface representing several phases of the VE job plan. The model is employed in a tunnelling project to demonstrate feasibility of the model in a practical workshop. Owing to its expert nature, the developed model contributes to efficiency of the methodology through providing VE teams with canalized expert knowledge of diverse domains. The propounded model may avail researchers in promoting expert models for pre-construction and specifically VE studies in major construction projects.
Keywords: Value engineering; expert system; case-based reasoning; decision support system; fuzzy sets (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/01446190801905398 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:conmgt:v:26:y:2008:i:4:p:363-372
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RCME20
DOI: 10.1080/01446190801905398
Access Statistics for this article
Construction Management and Economics is currently edited by Will Hughes
More articles in Construction Management and Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().