Six Sigma Methodology: Data-Driven Process Optimization and Error Minimization

Description

• Content:
  • Basics and principles of Six Sigma
  • DMAIC (Define, Measure, Analyze, Improve, Control) methodology
  • Statistical analysis for error minimization
  • Project management in Six Sigma
  • Successful implementation of Six Sigma projects
  • Six Sigma certification options
• Prerequisites:
  • Basic knowledge in quality management required.
• Certification Requirement:
  • Without certification option
• Conduction Method:
  • Online (For on-site or in-house training, please send us a request via our contact form (Contact - intellcert). We will get in touch with you shortly thereafter.)
• Language:
  • English
• Target  Audience:
  • Quality managers
  • Process improvers
• Learning Objectives:
  • Understand Six Sigma as a data-driven improvement methodology.
  • Apply the DMAIC cycle (Define, Measure, Analyze, Improve, Control).
  • Analyze sources of errors and derive process optimizations.
  • Use statistical tools for process improvement.
• Note:
  • Displayed price excl. VAT