Application of Basic Statistical Process Control
The objective of this one‑day course is to reintroduce the formulas, statistical symbols, terminology and interpretation of basic SPC. This is a good course for those who have had training in SPC but have not used it for some time. The use and interpretation of control charts are emphasized while formulas and statistical theory are kept to a minimum.
Statistical Process Control (SPC) is a proven and effective technique that helps teams and organizations monitor critical process outputs and drive continuous performance. Learning how to correctly collect process data and then how to properly construct and interpret control charts is required to compete in today’s worldwide marketplace.
Instructor
Dave received his undergraduate degree in applied math and physics in 1973 and an MBA (summa cum laude) in 1976, both from the University of Wisconsin-Milwaukee, where he also worked as an instructor for courses in mathematics and business statistics. ... read more
Who Should Attend
Everyone who needs a refresher on how to develop process monitoring methods using data collection, control charts and data interpretation in order to drive process improvement and meet increasingly higher demands for top-notch quality. Participants may include quality managers, quality engineers, manufacturing engineers, product engineers, supervisors, inspectors, maintenance personnel and machine operators.
Benefits and Learning Outcomes
- Correctly apply control charts to most manufacturing processes
- Accurately interpret these charts to quickly detect any changes in process output
- Stabilize a process to produce consistent parts that satisfy customers
Course Outline/Topics
Topics covered in this overview include the following:
- Concept of variation in manufacturing
- Histograms and the normal distribution
- Calculating process parameters; population average and standard deviation
- Calculating subgroup statistics; subgroup average, range and standard deviation
- Plotting subgroup statistics on a control chart
- Estimating process parameters from subgroup statistics
- The power of control charts and why they’re better than inspection
- Developing control limits for the R chart and the IX & MR chart
- Interpreting charts for stability; points outside of a control limit, runs, trends and cycles
- Determining rational subgroups, selecting an appropriate subgroup size, finding the suitable time between collecting subgroups and knowing when to update control limits
- Difference between specification limits and control limits
- The difference between attribute data and variable data
- c, u, np, and p charts for attribute data
Prerequisites
Introduction to Basic Statistical Process Control – Recommended for those who have no knowledge of SPC
Date: Wed, Dec 4, 2024
Delivery Method: Live Online
Time: 8am-4pm CT
Platform: Zoom
Instructor: Davis Bothe
Fee: $595
CEUs: 0.7, PDHs: 7
Enrollment Limit: 40
Program Number: 4820-16400
Registration Deadline: Nov 27, 2024
Date: Thu, May 15, 2025
Delivery Method: Live Online
Time: 8:30am-4:30pm CT
Platform: Zoom
Instructor: Davis Bothe
Fee: $595
CEUs: 0.7, PDHs: 7
Enrollment Limit: 40
Program Number: 4820-16727
Registration Deadline: May 8, 2025