Test Cost

Test cost is the expense of electrically testing each device — including equipment, labor, facilities, and materials, typically $0.10-$2.00 per device, representing 5-20% of total manufacturing cost and a major target for cost reduction efforts.

What Is Test Cost?

  • Definition: Total cost to test one device.
  • Typical: $0.10-$2.00 per device depending on complexity.
  • Components: Equipment, labor, facilities, consumables.
  • Impact: 5-20% of total manufacturing cost.

Why Test Cost Matters

  • Profitability: Significant portion of manufacturing cost.
  • Competitiveness: Lower test cost improves margins or enables lower prices.
  • Volume: High-volume products amplify test cost impact.
  • Optimization: Major opportunity for cost reduction.

Cost Components

  • Equipment: Tester depreciation and maintenance (40-60%).
  • Labor: Test operators and engineers (20-30%).
  • Facilities: Cleanroom space, utilities (10-20%).
  • Consumables: Probe cards, sockets, handlers (5-10%).
  • Yield Loss: Cost of overkill and escapes (5-15%).

Calculation

def calculate_test_cost(tester_cost_per_hour, test_time_seconds, 
                        labor_rate, overhead_rate):
    # Equipment cost
    equipment_cost = (tester_cost_per_hour / 3600) * test_time_seconds
    
    # Labor cost (per device)
    labor_cost = (labor_rate / 3600) * test_time_seconds
    
    # Overhead
    overhead = (equipment_cost + labor_cost) * overhead_rate
    
    total_cost = equipment_cost + labor_cost + overhead
    return total_cost

# Example
cost = calculate_test_cost(
    tester_cost_per_hour=500,
    test_time_seconds=5,
    labor_rate=50,
    overhead_rate=0.3
)
print(f"Test cost: ${cost:.3f} per device")

Reduction Strategies

  • Reduce Test Time: Optimize patterns and parallel testing.
  • Increase Utilization: Maximize tester uptime.
  • Adaptive Testing: Skip unnecessary tests.
  • Automation: Reduce labor content.
  • Yield Improvement: Reduce retest and rework.

Trade-offs: Lower test cost must be balanced against quality (coverage) and yield (overkill vs escapes).

Test cost is a major profit lever — optimizing it while maintaining quality is critical for competitive manufacturing economics.

Take test cost further

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