π Case Study
Renewable Energy Gearbox Producer β Multi-Shift Gear Hobbing Optimization
Night-shift premium and fatigue-related rework inflated reported machine hour cost by 37%
ποΈ Project Overview
Introducing third shift on high-precision gear hobbing lines to meet turbine delivery deadlines
π― Challenge
Night-shift premium and fatigue-related rework inflated reported machine hour cost by 37%
π§ Design Approach
Fatigue-adjusted yield factor integrated into rate calculation; dynamic shift premium tiering based on historical scrap rate bands
π Design Diagram
AI-generated project design illustration
π Key Calculations
Yield-Adjusted Machine Hour Rate
Base Rate / (1 β Scrap Rate)
Result: USD 138.60/hr (vs. USD 102.40 unadjusted)
Captured true cost of quality loss
Tiered Shift Premium
Base Γ (1 + 0.12 Γ [Scrap Rate Band])
Result: 12%β18%
Linked premium to performance, not calendar time
π Results
Rework reduced by 29%; third-shift gross margin increased from β4% to +11%; customer delivery adherence rose to 99.4%π‘ Lessons Learned
- β’Machine hour rate must reflect output qualityβnot just input time
- β’Shift premiums should be performance-contingent, not automatic
β Key Takeaways
- 1Machine hour rate must reflect output qualityβnot just input time
- 2Shift premiums should be performance-contingent, not automatic
π Prerequisites
Understand these before this topic
β‘οΈ Next Step
Continue your engineering workflow
π Engineering Applications
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