ENBIS-17 in Naples

9 – 14 September 2017; Naples (Italy) Abstract submission: 21 November 2016 – 10 May 2017

A Tutorial on an Iterative Approach for Generating Shewhart Control Limits

11 September 2017, 12:00 – 12:30

Abstract

Submitted by
Valeria Quevedo
Authors
Valeria Quevedo (Universidad de Piura), Susana Vegas (Universidad de Piura), Geoff Vining (Virginia Tech)
Abstract
Standard statistical quality control text books (e.g.,Montgomery 2015) discuss the differences between Phase I and Phase II control charts. In Phase I, control charts are more of an exploratory data analytical tool whose purpose is to generate the control limits for Phase II. Phase II is the true control procedure, which may be viewed as a series of hypothesis tests. The null hypothesis is that the process is in-control, and the alternative is that it is out-of-control.
The typical presentation of Phase I is a preset number of rational subgroups. Such an approach fails to address the tension that exists between having enough information to generate reliable control limits and being able to start active control of the process. A key point is that control charts allow the engineer to change the process generating the data, unlike post hoc hypothesis tests. Vining (1998; 2009) outline an iterative approach that he developed in the early 1980s when he was employed by the Faber-Castell Corp. The purpose of this iterative procedure is to construct the chart so that it generates a better model of the in-control process.
This article discusses the differences between Phase I and Phase II control charts and the impact of the number of rational subgroups in the Phase I study upon the quality of the resulting control limits. It then presents two brief case studies that illustrate the iterative approach for the basic Shewhart Xbar and R charts.
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