A Decision Support System of Quality Forecast Evaluation for Complex Products Based on Data Warehouse

DOI

10.2991/icmii-15.2015.125How to use a DOI?

Keywords

Complex Products, Product Quality, Quality Forecast, Decision Support System, Data Warehouse.

Abstract

How to improve the quality of complex products was a difficult problem to most enterprises. It is the most important to increase product quality by establishing effective forecasting methods. This article presents the findings of a decision support system (DSS) of quality forecast evaluation for complex products based on data warehouse. Firstly, the implementation framework for DSS based on data warehouse is presented. Then, a new decision method based on data processing mining is introduced. Finally, a case study is presented to shown the approved methods and models by using an example of computer numerical control (CNC) machines in practice implementations. Simulation results of this model applied to DSS show its validity.

Copyright

© 2015, 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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TY  - CONF
AU  - Jihong Pang
PY  - 2015/10
DA  - 2015/10
TI  - A Decision Support System of Quality Forecast Evaluation for Complex Products Based on Data Warehouse
BT  - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
PB  - Atlantis Press
SP  - 723
EP  - 727
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmii-15.2015.125
DO  - 10.2991/icmii-15.2015.125
ID  - Pang2015/10
ER  -