Construction of Data Warehouse Platform in Continual Quality Improvement

Jun Tan; Hai Ming Zhao

doi:10.4028/www.scientific.net/AMM.519-520.13

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 519-520Construction of Data Warehouse Platform in...

Construction of Data Warehouse Platform in Continual Quality Improvement

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 519-520)

Pages:

13-16

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.519-520.13

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Online since:

February 2014

Authors:

Jun Tan, Hai Ming Zhao

Keywords:

Association Rules Mining System, Continual Quality Improvement, Data Warehouse, Snowflake Schema, Three-Tier Structure

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