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Activity Number: 343 - Advances in Statistical Process Control and Capability
Type: Contributed
Date/Time: Tuesday, August 1, 2017 : 10:30 AM to 12:20 PM
Sponsor: Quality and Productivity Section
Abstract #323879
Title: On the Robustness of Shewhart Charts
Author(s): Semere Tsehaye Tesfay* and Subhabrata Chakraborti
Companies: University of Alabama and University of Alabama
Keywords: Shewhart control charts ; assumption violation ; robustness
Abstract:

Shewhart control charts for variables data are mainly based on the assumption that the observations are iid and follow a normal distribution. However, in practice, these assumptions may be violated, and this may produce chart performance that may not be expected. This paper explores the robustness of a number of popular Shewhart charts, including the X-bar chart and the S chart, when some of the underlying assumptions are violated. The performance of these control charts will be examined for data simulated from several distributions of different shapes.


Authors who are presenting talks have a * after their name.

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