DocumentCode :
3522517
Title :
Organizational performance evaluation of power supply with partial least-squares regression
Author :
Zheng, Wen-jun ; Wang, Hong-li
Author_Institution :
Sch. of Manage., Tianjin Univ., Tianjin, China
Volume :
Part 1
fYear :
2011
fDate :
3-5 Sept. 2011
Firstpage :
161
Lastpage :
163
Abstract :
Power industry plays an important role in the development of China´s energy industry. Organizational performance means that administrators use evaluation index system to evaluate the overall effect of the organization´s operating results. Organizational performance management can focus on performance of the organization, a department, and processes to build a product or service. Partial least squares (PLS) regression is a recent technique that generalizes and combines features from principal component analysis and multiple regression. In this paper, we first established a supply enterprise performance evaluation index system. Then using partial least squares regression model, organizational performance of a number of Inner Mongolia Electric Power Corporation power companies were quantitative evaluated.
Keywords :
electricity supply industry; least squares approximations; organisational aspects; principal component analysis; regression analysis; China energy industry; Inner Mongolia Electric Power Corporation power companies; organizational performance management; partial least-squares regression technique; power industry; principal component analysis; supply enterprise performance evaluation index system; Biological system modeling; Indexes; Organizations; Power industry; Power systems; Security; Standards organizations; Organizational performance; Partial least squares (PLS) regression; Power industry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18Th International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-61284-446-6
Type :
conf
DOI :
10.1109/ICIEEM.2011.6035130
Filename :
6035130
Link To Document :
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