Date of Award

2008

Degree Type

Thesis

Department

Industrial and Manufacturing Engineering

First Advisor

Keys, L. Kenneth

Subject Headings

Control theory, Process control -- Statistical methods, Sampling (Statistics), Comparison of three methods for estimated parameter Xbar control charts

Abstract

The subject of this thesis is the comparison of the development method used to determine the value of Xbar control chart limits when the underlying process parameters are unknown and must be estimated from data obtained from a Phase I historical samples. I propose in the research for this thesis to compare these three proposed methods in detail comparing their performance by developing empirical probability of signal distributions for both in-control and out-of-control situations. Generation of these distributions will be accomplished through discrete simulation. The final result will consist of recommendations concerning the best of the methods to use in individual environments

Included in

Engineering Commons

COinS