Seminar Content
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.
This seminar is consistent with the SPC 2nd Edition manual issued by GM, Ford and
Chrysler through the AIAG.
Who Should Attend
This seminar is designed for 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.
Recommended Training and/or Experience
A basic knowledge of computational mathematics, a practical understanding of elementary
applied statistics, and a basic background in statistical process control are important.
This seminar is designed to be an extension of the first Statistical Analysis seminar.
Seminar Materials
Each participant will receive a seminar manual, including workbook and all team
exercise materials.
Please bring a calculator.
Seminar Goals
- 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
Seminar Outline
Introduction
Refresher
- Prevention Versus Detection
- The Fundamentals of Process Control
- Understanding Process Behavior
- Common and Special Causes
- Control vs Capability
- Process Control (Behavior) Charts
- Elements of Control Charts
- Control Chart Process
- Control Chart Mechanics
- Charts for Variables Data
- Average and Range Charts
- Average and Standard Deviation Charts
- Median and Range Charts
- Individuals Charts
- 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
- Stoplight Control Charts
- Pre-Control (Conformance) Charts
- Zone Charts
- Short-Run Control Charts
- Charts for Detecting Small Changes
- Non-Normal Charts
- Analysis of Underlying Distributions
- Approaches for Handling Non-Normal Forms
- 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
Course Sequence: SPC II
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