CLC number: TP391
On-line Access:
Received: 2005-09-05
Revision Accepted: 2005-12-21
Crosschecked: 0000-00-00
Cited: 0
Clicked: 5514
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.
[1] Bellman, R.E., Zadeh, L.A., 1970. Decision-making in a fuzzy environment. Journal of Management Science, 14(4):141-161.
[2] Buckley, J.J., 1985. Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17(3):233-247.
[3] Chang, P.L., Cheng, B.I., 1989. A statistical hierarchy model for pair wise comparison matrix with uncertainty. Journal of Management, 6(1):17-25 (in Chinese).
[4] Deng, C.Y., Zeng, K.S., 1989. The inherent characteristic of analytic hierarchy process. Journal of the Chinese Statistical Association, 27(6):5-22 (in Chinese).
[5] Executive Yuan, Taiwan, 2002. Report on the Quality of Public Construction Evaluated by the Control Yuan. Document No. EY0910054233 (in Chinese).
[6] Kuo, S.C., 2001. How to maintain the quality of public constructions. The Magazine of the Chinese Institute of Civil and Hydraulic Engineering, 25:1-8 (in Chinese).
[7] Laarhoven, P.J.M., Pedrycz, W., 1983. A fuzzy extension of Saaty’s priority theory. Fuzzy Sets and Systems, 11(1-3):229-241.
[8] Public Construction Mission, Executive Yuan, Taiwan, 2003. General Mistakes on Executing Government Procurement Act. Document No. PCM09200229060 (in Chinese).
[9] Review Meeting of Public Works, Ministry of Transportation and Communication, 2003. Reports of Review Meeting, Taipei (in Chinese).
[10] Saaty, T.L., 1980. The Analytic Hierarchical Process, Ch. 3. McGraw-Hill Publishing Company, New York.
[11] Saaty, T.L., 1986. Axiomatic foundation of the analytic hierarchical process. Journal of Management Science, 32(2):841-855.
[12] Seo, S., Aramaki, T., Hwang, Y., Hanaki, K., 2004. Fuzzy decision-making tool for environmental sustainable buildings. Journal of Construction Engineering and Management, 130(3):415-423.
[13] Zadeh, L.A., 1975. The concept of a linguistic variable and its application to approximate reasoning. Information Sciences, 8(3):199-249.
Open peer comments: Debate/Discuss/Question/Opinion
<1>