IATF 16949 Quality Management

#!/usr/bin/env python3
# DFMEA RPN tracker using AIAG-VDA 2019 methodology

fmea_entries = [
    {
        "item": "MCU CAN Controller",
        "function": "Transmit ESC torque request every 10 ms",
        "failure_mode": "Transmit timeout — no CAN frame sent",
        "effect": "ESC receives stale torque data → incorrect stability correction",
        "cause": "MCU register corruption due to EMC event",
        "severity":    8,  # 1-10 (8 = serious, potential injury)
        "occurrence":  3,  # 1-10 (3 = rare: 1 per 100k items)
        "detection":   4,  # 1-10 (4 = automated detection in ECU watchdog)
        "prevention_control": "EMC hardening: ferrite bead, 100nF decoupling",
        "detection_control":  "WdgM supervises CAN transmit task; DEM event on timeout",
    },
    {
        "item": "Torque Sensor Input",
        "function": "Measure steering torque ±15 Nm with 0.1 Nm resolution",
        "failure_mode": "Out-of-range value (> 20 Nm) reported",
        "effect": "EPS applies wrong assist direction → driver loss of control",
        "cause": "ADC saturation or SPI data corruption",
        "severity":    9,
        "occurrence":  2,
        "detection":   3,
        "prevention_control": "Dual-redundant torque sensor; plausibility check",
        "detection_control":  "Range check: if |torque| > 18 Nm → DEM fault → fail-safe",
    },
]

RPN_ACTION_THRESHOLD = 100

for e in fmea_entries:
    rpn = e["severity"] * e["occurrence"] * e["detection"]
    action = "ACTION REQUIRED" if rpn >= RPN_ACTION_THRESHOLD else "Monitor"
    print(f"{e['item']} — {e['failure_mode']}")
    print(f"  S={e['severity']} × O={e['occurrence']} × D={e['detection']} = RPN {rpn} [{action}]")
    print()