Cost of Test

Cost of test (or cost of quality) is the total expense of testing and quality assurance across the entire manufacturing flow — including wafer probe, final test, burn-in, failure analysis, and field returns, typically 10-30% of total product cost, making test optimization critical for profitability.

What Is Cost of Test?

  • Definition: Total testing and quality costs from wafer to field.
  • Scope: Probe, final test, burn-in, FA, returns, warranty.
  • Typical: 10-30% of total manufacturing cost.
  • Impact: Major component of product cost structure.

Why Cost of Test Matters

  • Profitability: Significant impact on margins.
  • Competitiveness: Lower cost of test enables better pricing.
  • Investment: Test equipment is major capital expense.
  • Optimization: High-leverage area for cost reduction.

Components

  • Wafer Probe: First electrical test (20-30% of test cost).
  • Final Test: Comprehensive package test (40-50%).
  • Burn-in: Extended stress testing (20-30% for high-rel).
  • Failure Analysis: Root cause investigation (5-10%).
  • Field Returns: Warranty and replacement costs (variable).

Total Cost Calculation

def calculate_total_cost_of_test(volume, probe_cost, final_test_cost,
                                  burn_in_cost, fa_cost, return_rate,
                                  return_cost):
    # Manufacturing test costs
    mfg_test_cost = volume * (probe_cost + final_test_cost + burn_in_cost)
    
    # Failure analysis
    fa_total = fa_cost
    
    # Field return costs
    returns = volume * return_rate
    return_total = returns * return_cost
    
    total_cost = mfg_test_cost + fa_total + return_total
    cost_per_unit = total_cost / volume
    
    return {
        'total_cost': total_cost,
        'cost_per_unit': cost_per_unit,
        'mfg_test': mfg_test_cost,
        'returns': return_total
    }

Optimization Strategies

  • Test Time Reduction: Minimize test duration while maintaining coverage.
  • Adaptive Testing: Skip tests based on inline data.
  • Yield Improvement: Reduce retest and rework.
  • Escape Prevention: Invest in test to avoid expensive field failures.
  • Equipment Utilization: Maximize tester uptime.

Trade-offs

More Testing → Higher test cost + Lower field failures
Less Testing → Lower test cost + Higher field failures

Optimal: Minimize total cost (test + field failures)

Best Practice: Optimize total cost of quality, not just manufacturing test cost. Preventing one field failure often justifies significant test investment.

Cost of test is a strategic business metric — optimizing it requires balancing manufacturing test costs against field failure costs to minimize total cost while maintaining customer satisfaction.

Take cost of test further

Ask the copilot about this term, or have our engineers assess it against your process.