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Understanding Core Tools: Statistical Process Control (SPC)

Seminar Content

This one-day overview is designed to provide participants with an understanding of the importance of SPC in controlling and improving the production process and to give students a practical knowledge of using statistical methods in analyzing the production and service processes.

This seminar is consistent with the SPC 2nd Edition Reference Manual issued by GM, Ford and FCA 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.

Recommended Training and/or Experience

Participants should possess basic math skills.

Seminar Materials

Each participant will receive a seminar manual and a workbook including all team breakout exercises.

Seminar Goals

  • Identify the different uses of basic variables 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
    • Breakout Exercise: Analyzing Data
  • Introduction to Control Charts
  • Basic Control Charts
    • Breakout Exercise: Plotting Data
    • Breakout Exercise: Control Charts
    • Breakout Exercise: X & MR Charts
  • Analyzing Control Charts
    • Breakout Exercise: Interpreting Control Charts
  • Capability Analysis
    • Breakout Exercise: Calculating Indices

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