Student analyzing Xbar-R control chart

Engineering Statistics For Manufacturing and R&D


Take advantage of a unique opportunity to participate in a 4-day hands-on workshop. This workshop is tailored for Directors, Managers, Engineers, and Technicians involved in R&D, manufacturing, and quality control. It’s your chance to contribute to and benefit from cutting-edge educational content, with the only cost being your valuable feedback through a testimonial.

  • Hands-On Learning: Step away from traditional lectures to engage directly with practical exercises and real-world scenarios.
  • Focused Content: With a curriculum designed to provide impactful knowledge and skills, you’ll explore four detailed workbooks under the guidance of experienced instructors.

Curriculum Highlights

What you will learn
Fundamentals• Fundamental analytic methods
• The accepted definition of quality
• Recurring safety, Lean and statistical themes
Process baseline• Evaluate measurement system stability, bias, linearity & noise
• Evaluate existing data
• Control point and product property consistency studies
Process optimization• Observational approach: SPC chart arrays
• Experimental approach: Design of Experiments
• Discover and preserve new process knowledge
Process monitoring• Long term process behavior monitoring and sampling methods
• Short run control charts
• Statistical methods for supplier management

Additional Benefits

  • Earn a Certification: Complete the workshop and a one-hour exam to earn a Pyzdek Institute Engineering Statistics Certification.
  • Software Support: Compatible with JMP®, Minitab®, and SigmaXL® statistical software. Each offers a free trial. Note: SigmaXL users may face limitations in some exercises.
  • Exclusive Learning Environment: Benefit from personalized attention in a class limited to 15 attendees.
  • Documented step-by-step workflows to study, understand and optimize complex manufacturing processes and their support measurement systems.
  • Templates for reporting results and writing material quality specifications.
  • Focus on higher yields, variation reduction, lower costs, higher profits, and new process knowledge.
  • Learn about Difference Charts, Zed Charts, Gage Performance Curves, Manufacturing Specs, Converting Opinion to Continuous Data, Variation-as-Response, Clustering, and other underutilized methods.
  • Reduce variation in raw materials and defend against supplier price increases.
  • Improve external audit results (ISO 13485, IATF 16949, AS9100, ISO 22000, etc.)

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