Seminar Content
This three-day seminar is designed to provide participants with an understanding
of topics of statistical process control through presentations, illustrations and
examples of the analysis of data. Participants will 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 SPC2ndEdition Reference Manual issued by GM,
Ford and FCA 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.
Seminar Materials
Each participant will receive a seminar manual, including workbook and all team exercise materials.
Please bring a calculator.
Seminar Goals
- Identify the different uses of control charts
- Explain common and special causes
- Relate within and between variation to common and special causes
- Explain the relationship between C and P indices, and the different methods of estimating standard deviations
- Identify appropriate uses for Cp, Cpk and Pp, Ppk
- Explain the relationship between the capability indices to determine process improvement actions
- Explain the relationship between process control and process capability
Seminar Outline
- SPC Background
- Normal Theory and the Central Limit Theorem
- Introduction to Control Charts
- Breakout Exercise: Sampling Plan
- Variable Control Charts
- Breakout Exercise: X & S Charts
- Breakout Exercise: X & MRCharts
- Attribute Control Charts
- Analyzing Control Charts
- Breakout Exercise: Interpreting Control Charts
- Capability Analysis
- Breakout Exercise: Calculating Indices
- Other Types of Control Charts
- o Breakout Exercise: Short-Run c Chart
- Process Improvement Cycle and Process Control
- Breakout Exercise 6: Control Chart Concepts
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