Statistical Process Control (SPC)

Category: 01_QUALITY
Length: 2 days

Planning:
Live Webinar 19.10.2026 - 20.10.2026 Ask for info
Ask for info


Objectives: Understanding and learning the skills to determine the stability and capability of processes, in accordance with the AIAG-VDA SPC Manual, 1st  edition.

Target audience: Personnel from manufacturing or service companies involved in the process, control or process management, quality departments, process engineering, production, maintenance, and personnel involved in internal system, process, or product audits.

Duration: 2 days. Optionally, an additional day of consulting for real projects and implementation (procedure, customization) in the client's company.

Agenda:

  • Introduction
  • Introduction to SPC
  • Basics of statistics.
    • Location and variation of processes
    • Measurement indicators
  • Introduction to SigmaXL and graphical analysis
    • The Histogram
    • Box Plot
    • the Pareto
    • Determining normality
    • Applications
  • Determining the stability of processes
    • Control charts for continuous data
      • Individual data: Individual & Moving Range
      • Sampled data: Xbar & R; Xbar & S
    • Control diagrams for attributive data: Pchart and Uchart
    • Process capability
      • Calculation of Cp, Cpk, Pp, Ppk,
      • Interpretation and corrective measures
    • Applications and case studies
  • Discussions, examination, closing of the course.

For a greater interactivity and understanding of the tools, we recommend the access of 2 participants / PC, on which to install SigmaXL. The trial version is free for 30 days and can be downloaded using this link.

For the best price SigmaXL course & software, ask us for the combined offer.



Trainer:
Over 20 years of industry and consulting experience, with expertise in using the tools covered in the course and in delivering training. Our instructors have provided training and/or consulting services to companies such as Daimler, Ford, Continental, Leoni Wiring Systems, Hella, Coficab, Takata, Thyssenkrupp Bilstein, Preh, HUF, EKR Electrokontakt, Harting, Arctic, Hirschmann, Turbomecanica, and others.

For more information, please contact us.


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