A quality control of the injection molding process using EWMA predictor and minimum-variance controller

Author

Sun, Chin-Huang ; Chen, Juhn-Horng ; Sheu, Long-Jye

Author_Institution

Dept. of Ind. Manage., Leader Univ., Tainan

Volume

2

fYear

2008

fDate

12-15 Oct. 2008

Firstpage

2725

Lastpage

2730

Abstract

In this study, EWMA (exponentially weighted moving average) predictor and minimum-variance controller were applied to improve the product quality in the injection molding process. To simplify the process model and reduce the system loads, design of experiments (DOE) technique was adopted to analyze the important factors which have the significant effects on the product quality and their relative correlations. The results of this research not only can steadily control the manufacturing process and reduce the product loss and maintenance time for un-warning malfunction, but can also increase the efficiency of the equipment and the process.

Keywords

design of experiments; injection moulding; moving average processes; plastic products; plastics industry; quality control; statistical process control; EWMA predictor; design-of-experiments technique; exponentially weighted moving average predictor; injection molding process; manufacturing process control; minimum-variance controller; product maintenance; product quality control; Design of experiments; EWMA predictor; Injection molding; Minimum-Variance controller;

fLanguage

English

Publisher

ieee

Conference_Titel

Service Operations and Logistics, and Informatics, 2008. IEEE/SOLI 2008. IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-2012-4

Electronic_ISBN

978-1-4244-2013-1

Type

conf

DOI

10.1109/SOLI.2008.4682998

Filename

4682998