By Topic

Resource Management for Manufacturing Grid Based on Comprehensive Optimization Algorithm

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Jinfa Shi ; Zhengzhou Inst. of Aeronaut. Ind. Manage., Zhengzhou, China ; Hejun Jiao

This paper proposes a new method: PCA- Optimal SVM model which is composed of PCA and Optimal SVM to optimize the allocation of manufacturing grid resources through resources allocation data. The model is fit for company in the small sample space. It uses PCA to predigest the input vector and uses Optimal SVM to judge the statement of the company resources. With the model, one or more enterprises could be selected in every process in full lifecycle of product, and the defects in resolving optimal configuration with traditional algorithm model could be omitted. The application case proved that the proposed method can improve the feasibility of the program in optimal configuration, and it is suitable for on-line resource optimal configuration control for manufacturing grid.

Published in:

E-Business and E-Government (ICEE), 2010 International Conference on

Date of Conference:

7-9 May 2010