Multi-Objective Process Development is a systematic approach to developing semiconductor processes that simultaneously satisfies multiple quality requirements — balancing competing objectives (CD, uniformity, defects, throughput) using structured DOE, multi-response models, and Pareto optimization.

Development Workflow

• Define Objectives: Identify all critical quality attributes and their specifications.
• DOE: Design experiments that allow estimation of multi-response models.
• Model: Fit response surface models for each quality metric.
• Optimize: Use desirability functions or Pareto optimization to find the best compromise.

Why It Matters

• Holistic Development: Avoids optimizing one response at the expense of others.
• Trade-Off Visibility: Makes trade-offs between objectives explicit and quantifiable.
• Faster Development: Systematic approach reaches acceptable solutions faster than trial-and-error.

Multi-Objective Process Development is optimizing everything at once — developing processes that meet all quality targets simultaneously through structured experimentation and trade-off analysis.