CLC number: TP273
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2010-10-29
Cited: 1
Clicked: 5864
Yu-chuan Liu, Shih-ming Yang, Yu-te Lin. Fuzzy finish time modeling for project scheduling[J]. Journal of Zhejiang University Science A, 2010, 11(12): 946-952.
@article{title="Fuzzy finish time modeling for project scheduling",
author="Yu-chuan Liu, Shih-ming Yang, Yu-te Lin",
journal="Journal of Zhejiang University Science A",
volume="11",
number="12",
pages="946-952",
year="2010",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1001115"
}
%0 Journal Article
%T Fuzzy finish time modeling for project scheduling
%A Yu-chuan Liu
%A Shih-ming Yang
%A Yu-te Lin
%J Journal of Zhejiang University SCIENCE A
%V 11
%N 12
%P 946-952
%@ 1673-565X
%D 2010
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A1001115
TY - JOUR
T1 - Fuzzy finish time modeling for project scheduling
A1 - Yu-chuan Liu
A1 - Shih-ming Yang
A1 - Yu-te Lin
J0 - Journal of Zhejiang University Science A
VL - 11
IS - 12
SP - 946
EP - 952
%@ 1673-565X
Y1 - 2010
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A1001115
Abstract: This research aims at developing a new fuzzy activity finish time estimation model for project scheduling management. With the application of the fuzzy quality function deployment (FQFD) and fuzzy analytic hierarchy process (FAHP) methods, the degree of fuzziness for every project activity is calculated in accordance with considerations of project uncertainties. These uncertainties are measured by the risk level of such project-related characteristics as time limit, activity start time, budget, manpower, technological difficulty, and facility requirements. In this paper, rather than applying the de-fuzzification technique to obtain the crisp activity duration for project scheduling, the fuzzy finish time estimation method for every activity is proposed based on the degree of fuzziness. The corresponding fuzzy activity duration time plot is also developed in a new fuzzy Gantt chart. The proposed model can provide a reasonable fuzzy finish time estimation for every activity, while most scheduling methods only provide the finish time of the entire project. Compared to existing models, this time estimation model and its corresponding Gantt chart are predicted to have higher reliability and practical application in project management and scheduling.
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