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Statistical Process Control II (Advanced SPC) Training

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

  • Six Points

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
    • Drifting Process Center
  • 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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