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Statistical Process Control (SPC) Training
Statistical Process Control Course Objectives
Properly applied, Statistical Process Control (SPC) will allow for more effective tracking and evaluation of output data, facilitate timely response to process issues and drive quality improvement. Concepts and practical application of SPC techniques will be presented. While statistical formulas are important, the class will focus on recognizing out-of-control conditions and appropriate responses to bring a process back into a state of statistical control. Attendees will be trained in the development and interpretation of several control charts that will enhance their knowledge of SPC.
Quality Managers, Engineers and Technicians, Department Managers/Supervisors and Production personnel responsible for managing or controlling production or administrative processes
Class typically runs 7.5 hours
Class participants will be provided a handout of presentation materials
Certification of Attendance will be provided upon completion
This training session introduces the attendee to the basic concepts of process and product variation along with how variation affects process management and product quality. Traditional methods of monitoring process performance via statistical methods are introduced.
The following topics will be reviewed:
- Concept of Statistical Process Control
- Types of variation
- Frequency distributions, Histograms, Pareto charts
- Instructor led exercise to understand frequency distribution / probability analysis (dice roll)
- Individual creation of a Histogram
- Individual and group assessment of the effectiveness of 100% inspection
- Measures of central tendency and dispersion
- Normal distribution and the bell shaped curve
- Types of data
- Xbar and Range charts
- Moving range charts
- Control charts for Attributes (p, np, c, and u-charts)
- Individual creation of np chart (Bead Box)
- Interpretation of control charts
- Process capability – Cp and Cpk
At conclusion of the training session, participants should be able to:
• understand concepts of probability and variation,
• recognize what statistical tools to apply to variable and attribute data, and
• monitor and control processes using statistically valid concepts.
About the Trainer
Craig J. Wilson; Managing Director, Quality & Process Improvement Consulting Services
Mr. Wilson has more than twenty years working as a supervisor, manager and advisor in quality assurance and production. Since joining Catalyst Connection in February 1993, he has helped companies in the aerospace, automotive, chemical, defense, food processing and medical industries to develop and implement effective quality management systems. He holds a BS degree in Engineering from The Pennsylvania State University and an MBA from West Virginia University. Mr. Wilson is an AS9100 Aerospace Experience Auditor with Probitas and a QMS Lead Auditor with Exemplar Global. He is a senior member in the American Society for Quality, an ASQ Certified Manager of Quality /Organizational Excellence, Certified Quality Engineer, and Certified Quality Auditor. Additionally, Mr. Wilson as an IAQG certified Instructor for the AS9100 Aerospace Auditor Transition Training.