Paper Title:
Intelligent Knowledge for Product Innovation
  Abstract

Innovation is more and more important for enterprises or most of organizations, but the results of many innovation activities are not satisfied. We find that the reason lies on insufficient knowledge management which can not supply systematic knowledge to support the requirement of innovation. Even worse the lacked knowledge is seldom been aware of. By studying on the Extension Theory (Extenics) and web intelligence, we proposed a novel knowledge management methodology called Intelligent Knowledge (IK) management. It can integrate knowledge from different sources such as human experience, the web or data base and construct a systematic knowledge map for product innovation. It gives a way to compensate the limitation of human knowledge and help people to find more ideas based on all-direction knowledge supported by information technology and Extenics. Its application in an electric company shows that IK-based product innovation is a useful model.

  Info
Periodical
Edited by
Yuanzhi Wang
Pages
470-475
DOI
10.4028/www.scientific.net/AMM.39.470
Citation
X. S. Li, Q. X. Li, L. Zhou, "Intelligent Knowledge for Product Innovation", Applied Mechanics and Materials, Vol. 39, pp. 470-475, 2011
Online since
November 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Jian Wen, Li Juan Lei, Zhi Qiang Tian
Abstract:It is important to evaluate the independent innovation capacity of high-tech industry scientifically, which could accelerate high-tech...
821
Authors: Wei Cao
Chapter 7: Dynamic Mechanical Analysis, Optimization and Control
Abstract:The key factor of product innovation design is analyzed in this paper. Among these factors, the construction of product innovation design...
1429
Authors: Yu Mei Wang, Shen Lin, Yu Jie Sun
Chapter 14: Engineering Management and Project Management
Abstract:Technology innovation, knowledge innovation and talent development were treated as a mutually embedded parallel process. Technological...
1521
Authors: Jia Kun Sun, Hui Hui Qiu, Chao Ying Yang
Chapter 6: Organization of Production, Production Planning and Scheduling in Manufacturing and Industry
Abstract:Process planning is the key sector for automobile industry enterprises to shorten product development cycle. By studying the expression...
474