This two-day seminar is designed to provide participants with an understanding of advanced topics of statistical process control through presentations, illustrations and examples of the analysis of data. Participants learn how to implement SPC within industries that have set up variation, slow and rapid tool wear, and chemical processes where concentration adjustments occur on a daily basis. Emphasis on analysis of the data and effects on the processes using eight types of control charts expands the users' ability to address non-normal, multivariate, and unilateral variables.
The approaches discussed and employed in this course are consistent with the intent and guidelines in the SPC 2nd Edition manual issued by GM, Ford and Chrysler through the AIAG.
Who Should Attend
Individuals who have direct responsibility for defining and developing an Organization's measuring, monitoring and analytical practices using data collection, charts and statistical tools appropriate for its products, processes and business goals and objectives. We will look for suitable statistical tools to identify the same sources of variation in our manufacturing or services and to control that variation.
Pre-Requisites for Course
Participants should possess fundamental knowledge of computational mathematics, a practical understanding of elementary applied statistics, and a basic background in statistical process control. This seminar is designed to be an extension of the first SPC seminar.
Each participant will receive a seminar manual and a workbook including all team breakout exercises.
Please bring a calculator.
- To present a hands-on approach to learning the principals and practices of advanced SPC and process analysis
- Explain optional statistical methods when traditional SPC practices have failed or are inadequate
- Understand the uses and benefits of advanced control charts and be able to construct and interpret them
- Understand the role that SPC plays in the overall Control Strategy for a process and company
- Six Points
- Prevention Versus Detection
- The Fundamentals of Process Control
- Understanding Process Behavior
- Common and Special Causes
- Control vs Capability
- Process Control (Behavior) Charts
- Charts for Variables Data
- Charts for Attribute Data
- p charts
- np charts
- c charts
- u charts
- The Process Improvement Cycle and Process Control
- The Improvement Cycle
- Sampling Procedures
- Other Types of Control Charts
- Baseline -- Random (White Noise) Processes
- Probability Based Charts
- Short-Run Control Charts
- Charts for Detecting Small Changes
- Non-Normal Charts
- Multivariate Charts
- Regression Control Charts
- Residual Charts
- Autoregressive Charts
- Shifting Process Center
- Capability Analysis
- Bilateral tolerances
- Unilateral tolerances
- Non-Normal processes
- Multivariate Processes
- Suggested Use of Process Measures
- Loss Functions
- Alignment of Process to Customer Requirements
- Effective Use and Benefits of Control Charts