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    7.2 Operational metrics: FPY, RTY, CoQ & review cadence

    In high-volume, high-reliability manufacturing, standard end-of-line “Yield” is a lagging metric. A production line reporting a 99% Output Yield can still be financially unviable if 40% of those units required expensive rework loops just to finally pass. A clear distinction must be made between efficiently making a product and expensively fixing a product. Real operational metrics are the pressure gauges of the “Hidden Factory”—the undocumented rework practices that consume labor, impact schedules, and reduce component reliability.

    1. First pass yield (FPY) – the capacity metric

    Section titled “1. First pass yield (FPY) – the capacity metric”

    FPY measures the raw throughput efficiency of a single, isolated station. It answers: “At this exact machine, how many good units came out the back versus how many went in the front?”

    • Formula: (Units Passed / Units Entered) × 100
    • The Use Case: Capacity Planning. It tells Operations if the line can meet today’s shipping schedule.
    • The Danger: FPY ignores the cost of rework. For instance, if an operator re-tests a failing board 3 times until it passes, the FPY system simply records a “Pass,” which masks process instability.

    2. Rolled throughput yield (RTY) – the reliability metric

    Section titled “2. Rolled throughput yield (RTY) – the reliability metric”

    RTY measures the probability of a single unit passing the entire value stream from start to finish without a single touch-up, rework cycle, or re-test. This is the most truthful metric for process health.

    • Calculation: RTY = Y(Solder Paste Printing) × Y(Pick & Place) × Y(Reflow Soldering) × Y(test)
    • The Reality of Compounding: In a process with 5 sequential steps, if each runs at a seemingly acceptable 95% yield, the overall RTY is 0.95⁵, which is approximately 77%. This means nearly 1 in 4 units built are being actively reworked, demonstrating why a “95% station yield” is often insufficient in complex systems manufacturing.

    3. Cost of quality (CoQ) – the financial metric

    Section titled “3. Cost of quality (CoQ) – the financial metric”

    Quality is not free, but Poor Quality is expensive. CoQ captures the total financial impact of the quality system on the company’s bottom line.

    • Good Cost (Proactive Investment):
      • Prevention: Operator Training, Design FMEA, robust Fixture Design, SPC implementation.
      • Appraisal: Equipment Calibration, automated Testing, scheduled Inspection labor.
    • Bad Cost (Reactive Loss):
      • Internal Failure: Scrap, Rework labor hours, Re-testing bottlenecks, Machine Downtime.
      • External Failure: Customer RMAs, Warranty payouts, Liability, Brand Damage.

    Collecting accurate data requires a consistent review schedule to turn static metrics into engineering action. The following cadence must be established and protected.

    • Who: Line Lead, Quality Engineer, Production Supervisor.
    • The Trigger: Held at the start and end of every shift.
    • The Focus: FPY & Scrap bins.
    • The Logic: When the Top 3 Defects on the Pareto match yesterday’s data, the containment actions are not working and must be revised. When accumulated Scrap exceeds $500 per shift, the bin should be quarantined for an immediate Root Cause Analysis (RCA).
    • Who: Quality Manager, Engineering Manager, Operations Manager.
    • The Trigger: Monday Morning Production Meeting.
    • The Focus: RTY trends & Open CAPA (Corrective Action) aging.
    • The Logic: When the RTY trend is drifting down (even despite a stable FPY), it is wise to audit the rework stations on the floor. Operators may be fixing defects without logging them. When a critical CAPA is overdue, engineering resources should be reassigned to close it.
    • Who: VP of Operations, Plant Director, Quality Director.
    • The Trigger: The formal Monthly Operations Review (MOR).
    • The Focus: Total CoQ & Supplier Quality Performance.
    • The Logic: When the measured Failure Cost is significantly greater than the Appraisal Cost, the manufacturing process is running reactively. Budget should be shifted from “End-of-line Inspection” into “Upfront Prevention” (Process Design, Training, Poka-Yoke Jigs).
    • When measuring raw Line Throughput (to meet the shipping schedule), monitor FPY.
    • When measuring fundamental Process Stability (to evaluate engineering health), monitor RTY.
    • When RTY drops below 90%, it is advisable to stop the line and investigate, as hidden rework loops can introduce latent thermal stress into the PCBAs.
    • When formal CoQ exceeds 5% of total Revenue, the manufacturing process financials need attention, prompting major Corrective Action.

    Recap: Operational Metrics for Hardware Manufacturing

    Section titled “Recap: Operational Metrics for Hardware Manufacturing”
    MetricCore Engineering PurposeTarget / ThresholdReview Cadence & Key Action
    FPY (First Pass Yield)Measure raw station throughput capacity for shipping schedule.>99% per stationDaily (per shift): Review with Line Lead, Quality Engineer, Production Supervisor.
    RTY (Rolled Throughput Yield)Measure true process health & probability of zero-rework flow.>90% per flowWeekly: Trend analysis. If <90%, stop line & investigate hidden rework.
    Cost of Quality (CoQ)Financial control of quality system impact on revenue.<5% of total revenueMonthly (MOR): Analyze CoQ breakdown. If Failure Cost >> Appraisal Cost, shift budget to Prevention.
    Scrap CostTrigger immediate root cause analysis for significant loss.<$500 per shiftDaily (per shift): If scrap exceeds $500, quarantine bin & initiate RCA.
    CAPA AgingEnsure timely elimination of defect root causes.Meet completion deadlinesWeekly: Review open CAPAs. If critical CAPA is overdue, reassign engineering resources.

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