Course "Statistics for Process and Quality Control" has been pre-approved by RAPS as eligible for up to 12 credits towards a participant's RAC recertification upon full completion.
This two-day seminar includes the steps and techniques used to quantify variability in manufacturing processes, and to assure quality products.
The concepts and information presented will be mainly concerned with statistical quality control: obtaining information (data) that is objective, unbiased, and useful for decision making. An emphasis will be placed on the set-up and use of control charts and acceptance sampling systems and procedures.
The objective of the seminar is to provide information that can be used immediately by personnel involved in production operations, and by supervisors and management in decision making. Although the presentation involves use of statistical techniques, presentation of statistical theory will be limited to only what is needed by the attendees to understand and implement processes and testing within the statistical framework.
Presented examples will include an emphasis on the manufacturing processes and quality assurance needs of personnel in the medical device and pharmaceutical industries.
Process and quality control are constantly evolving. Therefore, historical concepts, current trends and regulatory requirements will be discussed. The presentation of statistical charts and analyses, graphical techniques for planning, trouble-shooting and problem solving will also be made.
Why you should attend:
All processes exhibit intrinsic variation. However, sometimes the variation is excessive and this hinders the ability to achieve reliable measurements and desired results. Statistical Process Control (SPC) and Statistical Quality Control (SQC) allow us to control the functions of our processes (input) and the quality of our product (output) by providing tangible tools for monitoring and testing.
Process and Quality Control are important for a company's reputation. A good system of processing and quality checks reduces costs associated with production waste and re-work due to defects, and allows a company to deliver products that are high in quality. Many industries are also required to have a good Quality Management System in place to achieve compliance with regulatory authorities.
This seminar will provide attendees with the statistical tools necessary to monitor processes and test the quality of manufactured product. Ms. Eisenbeisz will make use of Minitab software in her presentation.
Areas Covered in the Session:
FDA QSR, ISO 13485:2016, IS 9001:2015 regulations and harmonization
Overview of statistical theory and nomenclature for processes and quality control
Variability and risk assessment in practice
Control before testing!
Which chart for which process?
Setting statistical specifications, control limits, and signals
Day 1 Schedule
Lecture 1 (90 Mins): It's a System! Elements of Quality Management
Deming 14 points for total quality management
Dr. Ishikawa, seven Quality Control tools (7-QC) and supplementals (7-SUPP)
Pareto Principle (80/20 rule)
Shewhart (Plan, Do, Study, Act)
Lecture 2 (90 Mins): Regulatory Requirements in Quality Management
FDA Quality System Regulation (QSR)
Harmonization of regulations with FDA guidance/regulations
Lecture 3 (90 Mins): Statistical basics
Check sheets/tally sheets
Binomial Distribution (discrete data)
Hypergeometric Distribution (sampling without replacement)
Normal Distribution (continuous data)
Lecture 4 (90 Mins): Statistical Basics (cont'd)
Cause and effect (fishbone) diagrams
Defect concentration diagrams
Day 2 Schedule
Lecture 1 (90 Mins): Statistical Process Control: The ABC's of Control Charts
Elements of a control chart
Control Charts for Discrete Data
Control Charts for Continuous Data
Combined charts (Xbar-R, I-MR)
Lecture 2 (90 Mins): Statistical Process Control (cont'd)
More Control Charts
Classical Shewhart control charts
Cumulative Sum (CUSUM) charts
Exponentially Weighted Moving Average (EWMA) charts
Hotelling (multivariate) control charts
Lecture 3 (90 Mins): Statistical Quality Control - Attribute Sampling Plans
C= 0 /Zero Acceptance
Single sample plan
Multiple sampling plan
Sequential sampling plan
Skip-lot sampling plan
Lecture 4 (90 Mins): Statistical Quality Control - Variables Sampling Plans
Sampling size and critical distance
Known vs. unknown standard deviation
One or two specification limits
Using ANSI Z1.9
Owner and Principal Statistician ,
Elaine Eisenbeisz is a private practice consultant based in Southern California. She has over 20 years of experience in creating data and information solutions for industries ranging from governmental agencies and corporations, to start-up companies and individual researchers.
In addition to her technical expertise, Elaine possesses a talent for conveying statistical concepts and results in a way that people can intuitively understand.
Elaine’s love of numbers began in elementary school where she placed in regional and statewide mathematics competitions. She attended University of California, Riverside, as a National Science Foundation Scholar, where she earned a B.S. in Statistics with a minor in Quantitative Management, Accounting. Elaine completed her graduate certification in Applied Statistics with Texas A & M University. Gig ‘em Aggies! Currently, she is finishing her graduate work in Applied Statistics at Rochester Institute of Technology.
Elaine is a member of The American Statistical Association as well as many other professional organizations. She is also a member of the Mensa High IQ Society. Elaine is also a member in good standing with the Better Business Bureau.
Current areas of interest include Bayesian inference, simulation and bootstrapping techniques, and predictive modeling.
When she isn’t crunching numbers you can find Elaine digging in her garden, playing her violin, cooking, or playing board games with friends.
- Quality Assurance (QA) Engineers
- Quality Control (QC) Engineers
- R&D Engineers
- Process Control Personnel
- Manufacturing/Industrial Personnel
- Production Supervisors
- Management Personnel of Processing Facilities
DoubleTree San Diego Downtown
1646 Front Street
General Driving Directions
From San Diego International Airport / Lindbergh Field, CA: 2.6 miles
Depart from San Diego International Airport / Lindbergh Field, CA (0.1 mi.)
Keep left toward N Harbor Dr (0.4 mi.)
Turn left onto N Harbor Dr (1.4 mi.)
Turn left onto W Grape St (0.3 mi.)
Turn right onto Columbia St (0.2 mi.)
Turn left onto W Date St (0.1 mi.)
Turn right onto Union St (0.0 mi.)
Arrive at Union St on the left (0.0 mi.)
Disclaimer: Directions to the venue above have been taken from the hotel website. Attendees are advised to check with the hotel for confirmation of these directions before starting for the venue.