Statistics for Process Control Live Virtual Seminar | Elaine Eisenbeisz | From: Feb 08, 2021 - To: Dec 31, 2021 |
This 6-hour virtual seminar includes a presentation of 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 process control: obtaining monitoring 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.
The objective of the seminar is to provide information that can be used immediately by the personnel involved in production operations, and by supervisors and management in decision making. Although the presentation involves the use of statistical techniques, the presentation of statistical theory will be limited to only what is needed by the attendees to understand and implement processes and monitoring tools within the statistical framework.
Presented examples will include an emphasis on the manufacturing processes and quality assurance needs of products in the medical device and pharmaceutical industries.
Process control is constantly evolving. Therefore, historical concepts, current trends, and regulatory requirements will be discussed. The presentation of statistical charts and analyses, graphical techniques for planning, troubleshooting, and problem-solving will also be presented.
Agenda:-
It’s a System! Elements of Quality Management
Regulatory Requirements in Quality Management
Statistical basics
Statistical Process Control: The ABC’s of Control Charts
Why Should You 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) allows us to control the functions of our processes (input) by providing tangible monitoring tools.
Process control is important for a company’s reputation. A good system of processing and 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 process management system in place to achieve compliance with regulatory authorities.
This seminar will provide attendees with the statistical tools necessary to monitor processes to ensure the quality of manufactured products. Ms. Eisenbeisz will make use of Minitab software in her presentation.
Who Will Benefit?
Elaine Eisenbeisz is a private practice statistician and owner of Omega Statistics, a statistical consulting firm based in Southern California. Elaine has over 30 years of experience in creating data and information solutions for industries ranging from governmental agencies and corporations to start-up companies and individual researchers.
Elaine’s love of numbers began in elementary school where she placed in regional and statewide mathematics competitions. She attended the 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 received her Master’s Certification in Applied Statistics from Texas A&M and is currently finishing her graduate studies at Rochester Institute of Technology.
