November 2024 Program: A Recommended Set of Indices for Evaluating Process Health | AIChE

November 2024 Program: A Recommended Set of Indices for Evaluating Process Health

Thursday, November 14, 2024, 12:00pm EST to Wednesday, May 21, 2025, 1:00pm EDT
In-Person / Local

A Recommended Set of Indices for Evaluating Process Health

Kevin White

Location: Virtual and In-Person – Microsoft Teams or B150 Auditorium (2nd floor)

Thursday, November 14, 2024

Speaker: 12 PM to 1 PM

Pizza will be provided for those attending in person and will be served from 11:30 AM to 12 PM

Abstract

Assessment of process health is an important aspect of any quality system. While control charts are often used in the day-to-day operations of processes, it is also helpful to take a retrospective look at past performance in the form of an overall process health assessment to identify specific opportunities for future improvement efforts. In this paper, we recommend a complete set of indices to evaluate various aspects of process health including actual process performance, process stability, process centering, and potential process capability. We show how the set of indices can be particularly useful when there are many processes to evaluate simultaneously. Both tabular and graphical methods using these indices will be shown for quick identification of potential problem areas that warrant more investigation. We also demonstrate how these metrics can be used when there are both two-sided and one-sided specifications (with and without a defined target). Finally, we explore the connection between the process and measurement system and recommend indices for evaluating the health of the measurement system.

Kevin White

Kevin White is a recent retiree from Eastman where he worked as a statistician including leading a team of statisticians who provided experimental design and other statistical modeling solutions in support of the top company growth programs.  He also led the Eastman AI and machine learning technology team that delivered advanced analytics solutions across a range of business problems.  He received his bachelor’s and master’s degrees in statistics from the University of Tennessee.  He is also an American Society for Quality (ASQ) Certified Quality Engineer and Fellow.