AN OPTIMIZATION OF ON-LINE MONITORING OF SIMPLELINEAR AND POLYNOMIAL QUALITY FUNCTIONSbyGALAL M. ABDELLADecember 2011Advisor: Dr. Kai YangMajor: Industrial EngineeringDegree: Doctor of PhilosophyThis research aims to introduce a number of contributions for enhancingthe statistical performance of some of Phase II linear and polynomial profilemonitoring tec...

The common consideration on economic model is that there is knowledge about the risk of occurrence of an assignable cause and the various cost parameters that does not always adequately describe what happens in practice. Hence, there is a need for more realistic assumptions to be incorporated. In order to reduce cost penalties for not knowing the true values of some parameters, this paper aims ...

Abstract: Today's society is characterized by consumers becoming more educated and demanding for products and services they use. Wherever, organizations are structured to respond the explicit or implicit needs of consumers, which lead to increased competitiveness of organizations. This competitiveness is reflected in the ongoing quest to provide high quality products and excellence process deve...

Monitoring Markov Dependent Observations with a Log-Likelihood Based CUSUM Shabnam Mousavi and Marion R. Reynolds, Jr. Department of Statistics, The Pennsylvania State University, University Park, PA 16802-2111, U.S.A., Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany, Departments of Statistics and Forestry, Virginia Polytechnic Institute and State University, B...

introduction: formalin injection induces nociceptive bahaviour in phase i and ii, with a quiescent phase between them. while active inhibitory mechanisms are proposed to be responsible for initiation of interphase, the exact mechanisms which lead to termination of nociceptive response in phase ii are not clear yet. phase ii is a consequence of peripheral and central sensitization processes, whi...

Distribution-free (nonparametric) control charts can be useful to the quality practitioner when the underlying distribution is not known. A Phase II nonparametric CUSUM chart based on the exceedance statistics, called the exceedance CUSUM chart, is proposed here for detecting a shift in the unknown location parameter of a continuous distribution. The exceedance statistics can be more efficient ...