5 bài học từ xưởng cơ khí khi dùng AI giảm lỗi QC và tránh giao hàng lỗi cho khách B2B

5 Lessons from a Metal Fabrication Shop Using AI to Reduce QC Defects and Avoid Shipping Bad Parts to B2B Customers

1. Chẩn đoán rủi ro cụ thể: lỗi QC không nằm ở sản phẩm, mà nằm ở tốc độ phát hiện Một chủ xưởng cơ khí từng nói với HimiTek...

1. Specific risk diagnosis: the real QC problem is not the defect itself, but how late you detect it A metal fabrication shop owner once told HimiTek something painfully honest:...

from datetime import datetime
from collections import defaultdict

ALERT_THRESHOLD = 5
qc_events = []

def record_qc_defect(order_id, lot_id, station, machine, shift, operator, defect_code, severity, image_url):
    event = {
        "time": datetime.now().isoformat(timespec="seconds"),
        "order_id": order_id,
        "lot_id": lot_id,
        "station": station,
        "machine": machine,
        "shift": shift,
        "operator": operator,
        "defect_code": defect_code,
        "severity": severity,
        "image_url": image_url
    }
    qc_events.append(event)
    return event

def check_alerts(events):
    counter = defaultdict(int)
    for e in events:
        key = (e["order_id"], e["shift"], e["defect_code"])
        counter[key] += 1

    alerts = []
    for (order_id, shift, defect_code), count in counter.items():
        if count >= ALERT_THRESHOLD:
            alerts.append({
                "message": f"Cảnh báo: {defect_code} xuất hiện {count} lần trong ca {shift} cho đơn {order_id}",
                "order_id": order_id,
                "shift": shift,
                "defect_code": defect_code,
                "count": count
            })
    return alerts

record_qc_defect("PO-2451", "LOT-A7", "Mài", "M-03", "Ca 2", "NV012", "SURFACE_SCRATCH", "nghiêm trọng", "/images/lot-a7-001.jpg")
record_qc_defect("PO-2451", "LOT-A7", "Mài", "M-03", "Ca 2", "NV012", "SURFACE_SCRATCH", "nghiêm trọng", "/images/lot-a7-002.jpg")

print(check_alerts(qc_events))

from datetime import datetime
from collections import defaultdict

ALERT_THRESHOLD = 5
qc_events = []

def record_qc_defect(order_id, lot_id, station, machine, shift, operator, defect_code, severity, image_url):
    event = {
        "time": datetime.now().isoformat(timespec="seconds"),
        "order_id": order_id,
        "lot_id": lot_id,
        "station": station,
        "machine": machine,
        "shift": shift,
        "operator": operator,
        "defect_code": defect_code,
        "severity": severity,
        "image_url": image_url
    }
    qc_events.append(event)
    return event

def check_alerts(events):
    counter = defaultdict(int)
    for e in events:
        key = (e["order_id"], e["shift"], e["defect_code"])
        counter[key] += 1

    alerts = []
    for (order_id, shift, defect_code), count in counter.items():
        if count >= ALERT_THRESHOLD:
            alerts.append({
                "message": f"Alert: {defect_code} appeared {count} times in shift {shift} for order {order_id}",
                "order_id": order_id,
                "shift": shift,
                "defect_code": defect_code,
                "count": count
            })
    return alerts

record_qc_defect("PO-2451", "LOT-A7", "Grinding", "M-03", "Shift 2", "NV012", "SURFACE_SCRATCH", "serious", "/images/lot-a7-001.jpg")
record_qc_defect("PO-2451", "LOT-A7", "Grinding", "M-03", "Shift 2", "NV012", "SURFACE_SCRATCH", "serious", "/images/lot-a7-002.jpg")

print(check_alerts(qc_events))