DocumentCode :
3008728
Title :
Data Mining-Based Informationization Amalgamation Case Study on Advanced Orbit Traffic Equipment Manufacturing
Author :
Xiufei Li
Author_Institution :
Dalian JiaoTong Univ., Dalian, China
fYear :
2010
fDate :
29-31 Oct. 2010
Firstpage :
1
Lastpage :
4
Abstract :
It is a synthesized and complicated big production activity for advanced orbit traffic equipment manufacturing, which needs bulkiness and high content technology, so the informationization is necessary. The amalgamation phase model (between Informationization and enterprise) was given. On the base of this, informationization should be used in some case of advanced orbit traffic equipment manufacturing quality management. The original and behindhand management method can not realize the real dynamic quality management in quality management actuality. Then the quality management system design was given, which used the data mining, network system structure, dynamic quality management and B/S structure. The model function structure includes power management, collection data management etc. Meanwhile, the quality management system was developed, which has construction log management subsystems. Finally, information technology was given. The practicability, validity and economy of the system were proved through the application in some advanced orbit traffic equipment manufacturing companies.
Keywords :
data mining; information technology; production engineering computing; quality control; telecommunication equipment; telecommunication industry; telecommunication traffic; advanced orbit traffic equipment manufacturing; construction log management subsystem; data mining based informationization amalgamation; dynamic quality management; information technology; network system structure; Companies; Data mining; Maintenance engineering; Manufacturing; Orbits; Production; Quality management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Technology (ICMT), 2010 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4244-7871-2
Type :
conf
DOI :
10.1109/ICMULT.2010.5631345
Filename :
5631345
Link To Document :
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