Mazu, Michael J. (1992, ASQC) ALCOA Corp., Warrick Operations, Newburgh, IN 47630
This abstract is an edited version of the author's original.
The solution to many problems in a manufacturing environment requires the collection and analysis of data. The analysis can be informal (eyeballing) or very formal (statistical). After taking courses in industrial statistics, statistical process control, and design of experiments to become more knowledgeable about the statistical approach, many engineers and managers have difficulty applying the concepts and techniques in their work environment.
This paper presents a case study to illustrate how statistics can be used to improve and control a process. The author highlights the methodology to: (1) select and best process operating conditions; (2) make the process more consistent; (3) make a process in control and capable; and (4) determine which variables contribute to setting the process on target with minimum variability around the target.
The case study involved an initial process capability study to determine the baseline performance of the process, a screening experiment with six variables to determine how to control and improve the process, and a follow-up process capability to verify that the process was in control and capable.
The results from the study provided a manufacturing process that is currently operating in a state of control and capable of meeting the customer's requirements.
Baseline study,Capability study,Case study,Manufacturing,Productivity,Screening,Statistical process control (SPC),Statistics