Date of Award

8-2025

Degree Type

Thesis

Degree Name

Master of Science - Mathematical Sciences

Department

Mathematics and Statistics

First Advisor

Robert Henderson

Second Advisor

Gregory Miller

Third Advisor

Jacob Turner

Fourth Advisor

Matthew Lindsey

Abstract

Statistical Process Control (SPC) charts are tools used in quality control to monitor and analyze the stability of a process over time. This study evaluates the effectiveness of eight individual Western Electric rules, also known as WECO rules, and the various combinations of these rules with Shewhart rule (or WECO rule 1) to SPC charts. As more rules are added to a process control scheme with Rule 1, there is a trade-off: a higher false out-of-control signal rate but an increase in sensitivity, that is the ability of a specified process control scheme to capture a true out-of-control signal. This research explores the effectiveness of process control schemes by investigating a plan’s run length, that is to analyze the theoretical probability of observing a control signal for a specified control plan via Markov chains method and simulations in R.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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