DocumentCode
2033266
Title
AHP and Grey Relational Analysis of Synthetical Evaluation Index System of Grinding Process
Author
Liu, Yuxun ; Song, Min
Author_Institution
Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou
fYear
2009
fDate
23-24 May 2009
Firstpage
1
Lastpage
4
Abstract
This paper introduces the tower structure of the synthetical evaluation index system of grinding process, namely, the top is goal of green degree of grinding process, and the upper is divided into 6 sub-objectives, they are resource, energy, environment, cost, production efficiency and humanity management. There are 18 guidelines belonging to those sub-objectives on the middle level, and the bottom is index content. The weights of the synthetical evaluation index system of grinding process adopt "1-9 Ratio scaling law" to construct the comparison judgement matrix, determined by eigenvector. Then using grey correlation evaluation model in gray system theory to sort and analyze grey correlation degree of system index of grinding process. After example validating, this evaluation model is an effective analysis method. It provides the scientific basis to quantitatively evaluate the green degree , adjust the parameters of grinding process and establish decision of green grinding process. Also it has value to popularize.
Keywords
eigenvalues and eigenfunctions; environmental factors; grey systems; grinding; matrix algebra; comparison judgement matrix; eigenvector; gray system theory; green grinding process; grey correlation evaluation; grey relational analysis; index content; synthetical evaluation index system; Environmental economics; Humans; Information analysis; Information science; Manufacturing processes; Poles and towers; Power generation economics; Production systems; Sustainable development; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-3893-8
Electronic_ISBN
978-1-4244-3894-5
Type
conf
DOI
10.1109/IWISA.2009.5072697
Filename
5072697
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