CLC number: F272.5
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
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ZHOU Yao-lie, SHAO Dan. TWO-STEP CONTROL GRADING METHOD[J]. Journal of Zhejiang University Science A, 2001, 2(4): 471-475.
@article{title="TWO-STEP CONTROL GRADING METHOD",
author="ZHOU Yao-lie, SHAO Dan",
journal="Journal of Zhejiang University Science A",
volume="2",
number="4",
pages="471-475",
year="2001",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2001.0471"
}
%0 Journal Article
%T TWO-STEP CONTROL GRADING METHOD
%A ZHOU Yao-lie
%A SHAO Dan
%J Journal of Zhejiang University SCIENCE A
%V 2
%N 4
%P 471-475
%@ 1869-1951
%D 2001
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2001.0471
TY - JOUR
T1 - TWO-STEP CONTROL GRADING METHOD
A1 - ZHOU Yao-lie
A1 - SHAO Dan
J0 - Journal of Zhejiang University Science A
VL - 2
IS - 4
SP - 471
EP - 475
%@ 1869-1951
Y1 - 2001
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2001.0471
Abstract: The incorrectness of function grading in value engineering has been an essential problem for decades. This paper proposes a new method, where the functions under consideration are ranked in queue according to their importance and then graded quantitatively. By using this method, the reviewers are more aware of the degrees of importance, and therefore will have an easier time grasping the standard and reducing the erroneous grading. In the first step, the sign test is used to discard incorrect data, to count the grading result and to arrange in queue according to the degrees of functional importance. In the second step the queued up functions undergo quantitative grading, where the "average value of fluctuation coefficient" is proposed to determine the control levels and to delete unreasonable data outside the controlled region so as to get more satisfactory grading value. The proposed method solves the problem of the incorrectness of function grading in value engineering. It has been proved that the correctness has been raised from the original 70% to over 95% . This new method is not only contributive to the discipline of value engineering but also suitable in the evaluation of technical economy.
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