Statistics for Quality Control

About The Course:

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 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 acceptance sampling systems and analytical 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 products in the medical device and pharmaceutical industries.

The application of quality control techniques 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 presented.

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 is important for a company’s reputation. A good system of processing and quality checks reduce 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.

WHO SHOULD ATTEND:

• Quality Assurance (QA) Engineers
• Quality Control (QC) Engineers
• R&D Engineers
• Process Control Personnel
• Manufacturing/Industrial Personnel
• Production Supervisors
• Management Personnel of Processing Facilities

AGENDA: