Design of Experiments (DOE) Training Course

Course Overview

Learning Objectives

• Analyse the principles, purpose, and applications of Design of Experiments.
• Define clear experimental objectives and measurable process responses.
• Identify critical factors and potential sources of process variation.
• Select appropriate experimental designs based on process objectives and constraints.
• Apply screening techniques to identify significant process factors.
• Develop factorial and fractional factorial experiments.
• Evaluate main effects and interactions between experimental factors.
• Assess experimental results using appropriate statistical methods.
• Identify optimal factor settings for improving process performance.
• Develop confirmation experiments to validate improvement results.
• Integrate DOE with SPC, process capability, root cause analysis, and continuous improvement.
• Establish practical DOE methodologies for repeatable process optimization.

Who Should Attend

Learning Outcomes

• Explain the role of DOE in systematic process improvement.
• Define experimental objectives, responses, factors, and measurable success criteria.
• Identify controllable and potentially influential process factors.
• Select an experimental design appropriate to a specific improvement problem.
• Construct structured factorial and screening experiments.
• Analyse main effects and interactions between factors.
• Interpret experimental results and identify statistically meaningful relationships.
• Distinguish significant process drivers from insignificant factors.
• Determine factor settings that support improved process performance.
• Design and evaluate confirmation experiments.
• Use DOE findings to support process control and continuous improvement.
• Develop an actionable DOE-based optimization plan for a selected process.

Course Outline