Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Reliabilty assessment of conceptual cost estimates for building construction projects

Authors
An, Sung-HoonCho, HunheeLee, Ung-Kyun
Issue Date
3월-2011
Publisher
SPRINGER INTERNATIONAL PUBLISHING AG
Keywords
Cost estimation; Reliability assessment; Reliability index; Decision making
Citation
INTERNATIONAL JOURNAL OF CIVIL ENGINEERING, v.9, no.1, pp.9 - 16
Indexed
SCIE
SCOPUS
Journal Title
INTERNATIONAL JOURNAL OF CIVIL ENGINEERING
Volume
9
Number
1
Start Page
9
End Page
16
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/112901
ISSN
1735-0522
Abstract
In the early stages of a construction project, the reliability and accuracy of conceptual cost estimates are major concerns for clients and cost engineers. Previous studies applied scoring methods and established common rules or mathematical methods to assess the quality of cost estimates. However, those approaches have some limitations in adapting to real-world projects or require understanding of sophisticated statistical techniques. We propose a Conceptual Cost Estimate Reliability Index (CCERI), a simple, easy-to-use, and easy-to-understand tool that incorporates weights for 20 factors influencing the quality of conceptual cost estimates. The weights were obtained by eliciting experts' experience and knowledge. Cost data from 71 building projects were used in the analysis and validation of the CCERI. The analysis reveals that a conceptual cost estimate with a CCERI score of less than 3000 has a high probability of exceeding 10% error, and such conceptual cost estimates are unlikely to be reliable. With the CCERI score, a decision maker or a client can recognize the reliability of the conceptual cost estimates and the score can thus support decision making using conceptual cost estimates. In addition, with the CCERI and the relative importance weights of factors affecting the conceptual cost estimates, the estimator can find ways to modify a conceptual cost estimate and reestimate it. These alternatives can decrease the risk in the conceptual estimated cost and assist in the successful management of a construction project.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Civil, Environmental and Architectural Engineering > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Cho, Hun Hee photo

Cho, Hun Hee
공과대학 (건축사회환경공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE