The Research and Construction of National Grid ERP Knowledge Management System

Article Preview

Abstract:

A lot of domestic and international researches show that the effective management of knowledge has become a powerful way to improve the performance and success in many enterprises. Power concerns a countrys economy and its peoples livelihood so that knowledge management has been widespread concern in the power grid enterprises development and application. On April 29, 2007 , the State Grid Corporation decided to adopt enterprise resource planning (ERP) systems as the core information technology platform and principal means for the informatization construction. In order to improve the efficiency of knowledge dissemination in National Grid ERP and make all the ERP modules theoretical knowledge to be shared, consulted and applied quickly among all he ERP users, this subject was based on the core ideas and characteristics of ERP in Hebei Electric Power Corporation, combined with its use problem of ERP to analyze specifically on the system requirements, functional design, build programs , feasibility and innovation, used ASP.NET and other technologies to achieve the construction of national grid ERP knowledge management system, and provide a knowledge management system (KMS) for quickly accessing, learning and sharing knowledge. It has great practical value.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2112-2116

Citation:

Online since:

January 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Wang Lei, Cai Weiyou : Electric Power Construction. Vol. 26(2006), pp.51-53.

Google Scholar

[2] ZENG Cheng: Journal of Hubei University (Natural Science Edition): Vol. 26 (2005), pp.327-329.

Google Scholar

[3] Que Luming, Sheng Bomin: ChineseVocational and Technical Education, Vol. 263(2007), pp.41-42.

Google Scholar

[4] Liu Shengquan, Xiang guoxiong: Modern Educational Technology, Vol. 14 (2004), pp.10-11.

Google Scholar

[5] Alton Chua: International Journal of Information Management, Vol. 17 (2004), pp.87-97.

Google Scholar