DocumentCode
2550422
Title
Research on comprehensive resource optimal configuration for manufacturing grid
Author
Shi, Jinfa ; Jiao, Hejun
Author_Institution
Zhengzhou Inst. of Aeronaut. Ind. Manage., Zhengzhou, China
fYear
2009
fDate
21-23 Oct. 2009
Firstpage
817
Lastpage
821
Abstract
By defining this resource quality objectives, the combination evaluation model based on principal component analysis determining objective weight and analytic network process determining subjective weight was presented to solve the problems of combinatorial optimization arising from the dimensions´ differences between manufacturing grid and resource allocation and distributed manufacturing resource selective preference. In the final model analysis of grinding resources comprehensive evaluation, grinding resources comprehensive evaluation index system is simplified by principal component analysis, and ordering vector of candidate resource is formed by analytic network process, then objects will be comprehensive evaluated through the comprehensive evaluation model we´ve got, from which the result avoids the limitation of single evaluation method and shows the practicability and effectiveness of this method.
Keywords
combinatorial mathematics; manufacturing systems; optimisation; resource allocation; analytic network process; combinatorial optimization; comprehensive evaluation model; comprehensive resource optimal configuration; distributed manufacturing resource selective preference; grinding resource comprehensive evaluation index system; manufacturing grid; model analysis; ordering vector; principal component analysis; resource allocation; resource quality; Aerospace industry; Computer aided manufacturing; Computer industry; Computer network management; Information resources; Manufacturing industries; Manufacturing processes; Quality management; Resource management; Virtual manufacturing; Combination evaluation; manufacturing grid; optimal configuration; weight;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-3671-2
Electronic_ISBN
978-1-4244-3672-9
Type
conf
DOI
10.1109/ICIEEM.2009.5344473
Filename
5344473
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