An Optimization Design of the Exponentially Weighted Moving Average Control Chart

被引：0

作者：

Aghniaei, Mona ^{[1
]}

Shamsuzzaman, Mohammad ^{[1
]}

Hamdan, Sadeque ^{[1
]}

机构：

[1] Univ Sharjah, Coll Engn, Dept Ind Engn & Engn Management, Sustainable Engn Asset Management SEAM Res Grp, Sharjah, U Arab Emirates

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM) | 2017年

关键词：

SPC; EWMA chart; Optimization design; ECONOMIC DESIGN; EWMA;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Statistical Process Control (SPC) charts are generally utilized in detecting process shifts to guarantee the product quality. The Exponentially Weighted Moving Average (EWMA) control charts indicate better performance in detecting small shifts in process parameters. This study presents a model for the optimization design of the EWMA chart monitoring process mean. The optimization model aims to limit the aggregate expected cost including sampling cost and quality cost based on random process shift. The model has been created and the performance of the proposed EWMA chart has been compared with that of a traditional EWMA chart.

引用

页码：1719 / 1722

页数：4

共 16 条

[1] Economic design of (X)over-bar control charts for monitoring batch manufacturing processes [J].