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     Research Journal of Applied Sciences, Engineering and Technology


Design of EWMA Control Charts for Assuring Predetermined Production Process Quality

1Jitao Fang, 2Hui Wang and 3Weiwei Deng
1School of Mechanical Engineering
2School of Mechanical Engineering, University of Jinan, Jinan 250022
3China National Heavy Duty Truck Group, Jinan 250031, Shandong, China
Research Journal of Applied Sciences, Engineering and Technology  2013  10:3010-3014
http://dx.doi.org/10.19026/rjaset.5.4615  |  © The Author(s) 2013
Received: September 16, 2012  |  Accepted: November 01, 2012  |  Published: March 25, 2013

Abstract

In this study, we establish the relationship model in process capability indices, the coefficient of process shift and quality target utilizing statistical tolerance technology. A new systematic method for concurrent design of process quality, Statistical Tolerance (ST) and control chart is presented. A set of standardized Process Quality Indices (PQIs) for variables is introduced for meeting the measurement and evaluation to process yield, process centering and quality loss. To develop a quality-oriented SPC approach, a standardized interface between process quality indices system and the parameter design of EWMA control charts is needed. The two-dimensional array form ST (Cp*, &delta*) is presented for selecting a set of parameters (&lambda, L) with suitable ARL0 and ARL1 to realize the optimal control for a process toward a predetermined quality target. The ST (Cp*, k*) will be the guideline to form the restriction of the centerlines of the control charts for assuring the preset PQIs. If the process statistical parameters are unknown, (Cp*, k*) will be converted into the ST form for estimated values based on a required confidence probability. A case study shows the detail procedure of this concurrent design for PQIs, ST and SPC parameters.

Keywords:

Concurrent design, EWMA control chart, process quality, statistical tolerance,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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