Construction of Data Warehouse Platform in Continual Quality Improvement

被引：0
|
作者：
Tan, Jun [1 ,2 ]
Zhao, Haiming [2 ]
机构：
[1] Cent South Univ Forestry & Technol, Coll Comp & Informat Engn, Changsha, Hunan, Peoples R China
[2] Cent S Univ, Coll Mech & Elect Engn, Changsha, Hunan, Peoples R China
来源：
COMPUTER AND INFORMATION TECHNOLOGY | 2014年 / 519-520卷
关键词：
data warehouse; continual quality improvement; association rules mining system; snowflake schema; three-tier structure; SYSTEM; PREDICTION;
D O I：
10.4028/www.scientific.net/AMM.519-520.13
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Aiming at improving product quality continually, we proposed an association rules mining system (ARMS) based on idea of PDCA cycling. Data warehouse is very useful for integrating heterogeneous database. Therefore, this paper designed a data warehouse platform as process data exchange module in ARMS. The role of data warehouse platform module is to integrate XML with enterprise process for realizing process data exchange among departments. In design of data warehosue, this paper chooses three-tier data warehouse structure and snowflake schema for indicating the complex relation between process data.
引用
收藏
页码：13 / +
页数：2
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