Statistics for Process Control is a seminar that addresses the steps and techniques used in statistical process control to quantify variability in manufacturing processes.
Statistics for Process Control covers topics such as:
- Presented examples will include an emphasis on the manufacturing processes and quality assurance needs of product in the medical device and pharmaceutical industries
- 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 monitoring tools within the statistical framework
- 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 presented. Minitab statistical software will be used to demonstrate data collection and input, and how to build and interpret various process control charts for both attributes and variables data. The seminar will also include the use of Minitab to develop attributes and variables sampling plans for quality assurance and acceptance. A handout and dataset will be provided to attendees so they may work hands-on with the information presented in the seminar
Statistics for Process Control is intended for:
- Quality control (QC) engineers
- Quality assurance (QA) engineers
- Process control personnel
- R&D engineers
- Manufacturing/Industrial personnel
- Manufacturing/Industrial personnel
- Management personnel of processing facilities
- Production supervisors
