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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.3 P.330~334

10.1631/jzus.2006.A0330


Using sequential analysis procedures to rank the influencing factors of public work’s quality


Author(s):  Yang Chau-ping

Affiliation(s):  Department of Civil Engineering and Engineering Informatics, Chung-Hua University, Hsin Chu, Taiwan 30067, China

Corresponding email(s):   ycp@chu.edu.tw

Key Words:  FAHP, Public works, Quality management, Influencing factors


Yang Chau-ping. Using sequential analysis procedures to rank the influencing factors of public work’s quality[J]. Journal of Zhejiang University Science A, 2006, 7(3): 330~334.

@article{title="Using sequential analysis procedures to rank the influencing factors of public work’s quality",
author="Yang Chau-ping",
journal="Journal of Zhejiang University Science A",
volume="7",
number="3",
pages="330~334",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A0330"
}

%0 Journal Article
%T Using sequential analysis procedures to rank the influencing factors of public work’s quality
%A Yang Chau-ping
%J Journal of Zhejiang University SCIENCE A
%V 7
%N 3
%P 330~334
%@ 1673-565X
%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A0330

TY - JOUR
T1 - Using sequential analysis procedures to rank the influencing factors of public work’s quality
A1 - Yang Chau-ping
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 3
SP - 330
EP - 334
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2006.A0330


Abstract: 
In order to improve the efficiency in management of public work projects, screening and controlling influencing factors affecting the quality of a public work project is essential. This study synthesized 9 influential categories including 91 factors related to quality management of public works in Taiwan using a sequential analysis procedure. According to the Borda-values of influencing factors obtained from a first stage questionnaire, the number of primary factors selected by the responsible entities and the design-supervisory entities were 44 and 45 respectively. A Fuzzy Analytic Hierarchy Process (FAHP) was used to prioritize and rank these factors. The top five factors ranked by the responsible entities were (1) introduction of the earned value analysis, (2) working efficiency, (3) environmental laws and regulations, (4) price-index fluctuation, and (5) on-site safety management. The top five factors ranked by the design-supervisory entities were (1) man power, (2) laws and regulations, (3) price-index fluctuation, (4) traffic conditions, and (5) faulty design.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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