DocumentCode
1911996
Title
New Information Grey Multi-Variable Optimizating Model NMGM(1,n,q,r) for the Relationship of Cost and Variability
Author
Luo, Youxin ; Xiao, WeiYue
Author_Institution
Coll. of Mech. Eng., Hunan Univ. of Arts & Sci., Changde, China
Volume
2
fYear
2009
fDate
10-11 Oct. 2009
Firstpage
120
Lastpage
123
Abstract
The relationship between two factors of variety and the cost of manufacturing system was studied on the basis of the variety reduction program VRP theory. Based on the Grey system and the new information principle, taking the mean relative error as objective function and taking the modified nth component of each variable as initial value of response function and finding the optimum background value coefficient q and modified value of initial value of response function by optimizing, new information multi-variable optimization Grey model NMGM (1,n,q,r) of the cost- variability function in manufacturing system was put forward which is used to check validity for the relation of plasm-yarn machine product and variety. Calculation results show that this method is very effective to data processing which has high precision and easy to use. The method has wide applications in various engineering fields.
Keywords
costing; grey systems; manufacturing systems; optimisation; manufacturing system cost; manufacturing system variability; new information grey multivariable optimization model; plasm-yarn machine product; response function; variety reduction program; Art; Cost function; Data processing; Differential equations; Educational institutions; Manufacturing systems; Mechanical engineering; Optimization methods; Predictive models; System testing; Cost and Variability; Grey system; NMGM(1; data processing; n; new information principle; q; r) Model;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location
Changsha, Hunan
Print_ISBN
978-0-7695-3804-4
Type
conf
DOI
10.1109/ICICTA.2009.266
Filename
5288284
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