Research on Techniques of Intelligent Manufacturing Data Management

Author:

Liu Jia Jia1,Zhu Wen Hua1,Soulier Eddie2,Remy Sebastien2

Affiliation:

1. Shanghai University

2. University of Technology of Troyes Institute Charles Delaunay

Abstract

With the rapid development of digital information in manufacturing and the gradually serious problem of "Information Island", the problem how to get the valuable intelligence manufacturing data into effective management, has become more and more critical at present. This paper introduces the different types and definition of object in the manufacturing, focuses on intelligent manufacturing of the data management technology that based on Teamcenter - including intelligent manufacturing of resources management and the management of the manufacturing technology of classification management technology, which are made in-depth discussion and research, and provides a referable method for effective data management to solve the problem that the enterprises have confronted in intelligent manufacturing production, what’s more, this paper may exert positive influence on the practice of enterprise production manufacturing.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference12 articles.

1. Hai Lin. Application research on manufacturing enterprise product data management and integration, J. Gansu Science and Technology. 24(2008) 65-71.

2. Jie Chen. Product data Management Technology and its Application, J. Mining Engineering. 7(2009) 61-62.

3. Wei Liu, Lihong Qiao, Jianjun Yang. The manufacturing data management based on services, J. Computer Integrated Manufacturing Systems. 15(2009) 1342-1348.

4. Miller Ed. PDM Today. Computer Aided Engineering , 14(1995)32-41.

5. Zhaoxia Wang. Business object in PLM system version operation compliance check automatically, J. Computer Integrated Manufacturing Systems. 17(2011).

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