Abstract

[This abstract is based on the author's abstract.] Quality and productivity improvement involves the isolation and analysis of a problem and the development of a permanent solution. Problem solving should follow a logical and systematic method that focuses on locating and eliminating the problem's real cause. One systematic problem solving approach uses the philosophy of statistical thinking, a thought process for learning and deciding what actions to take. Many individuals do not make a distinction between statistical thinking and the use of statistical techniques. To better understand the difference, a case study illustrating the philosophy of statistical thinking is presented. The case study involves an initial process capability study to determine baseline performance of a process, a gage capability study, a design of experiment (DOE) with three variables to identify key process variables, and a follow-up process capability to verify that the process was capable and in control. The study results lowered the product variability and provided a manufacturing process currently operating in a state of control and capable of meeting customer requirements.