Proceedings of the 2nd International Conference on Software Engineering, Knowledge Engineering and Information Engineering (SEKEIE 2014)

The Content Research and Realization Process of Product Configuration Database

Authors
Lei Wu, Zhi Lan, Wen-sheng Xiao, Xue Tian
Corresponding Author
Lei Wu
Available Online March 2014.
DOI
10.2991/sekeie-14.2014.22How to use a DOI?
Keywords
Product configuration; database; product information; customer knowledge; configuration constraint
Abstract

Product configuration is an essential link of mass customization production which is developing under marketoriented economy. The realization process of product configuration has to rely heavily on the scale of database. The product configuration database proposed in this paper includes four sections: enterprise production database, customer knowledge database, configuration process constraints database and other database. In addition, the data types and realization process of the four databases are presented in order to establish product configuration database.

Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Software Engineering, Knowledge Engineering and Information Engineering (SEKEIE 2014)
Series
Advances in Intelligent Systems Research
Publication Date
March 2014
ISBN
10.2991/sekeie-14.2014.22
ISSN
1951-6851
DOI
10.2991/sekeie-14.2014.22How to use a DOI?
Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Lei Wu
AU  - Zhi Lan
AU  - Wen-sheng Xiao
AU  - Xue Tian
PY  - 2014/03
DA  - 2014/03
TI  - The Content Research and Realization Process of Product Configuration Database
BT  - Proceedings of the 2nd International Conference on Software Engineering, Knowledge Engineering and Information Engineering (SEKEIE 2014)
PB  - Atlantis Press
SP  - 94
EP  - 97
SN  - 1951-6851
UR  - https://doi.org/10.2991/sekeie-14.2014.22
DO  - 10.2991/sekeie-14.2014.22
ID  - Wu2014/03
ER  -