ADT Manufacturing Agent — PT Arah Industri

Output Hari Ini

🏭

2,840 unit

101.4% target 2,800

OEE

📊

79.2%

Target 85%

Defect Rate

✅

2.3%

↓ vs target 2.5% ✅

Line Stoppage

🚨

2x

L3-Welding & L4

Quality Pass Rate

🎯

97.7%

↑ +0.4%

Energy Intensity

⚡

1.24 kWh/unit

Target 1.2 kWh

📈

OEE Breakdown — Availability × Performance × Quality

TARGET 85%

📊

Defect by Category

Dimensi (35%)280 unit

Surface (25%)200 unit

Weld (20%)160 unit

Assembly (15%)120 unit

Other (5%)40 unit

⚡

Live Production Feed

REALTIME

🏭

L3-Welding stoppage 08:24 — robot arm calibration error — 18 mnt downtime

Baru sajaLINE AGENT

🔍

QC batch #B-2847 — 3.2% defect rate — di atas 2.5% threshold — line hold

32 mnt laluQC AGENT

⚡

Energy spike L1-Casting — 1.48 kWh/unit — AI rekomendasikan check furnace

1 jam laluENERGY AGENT

🎯

OEE & Quality Gauge

79.2%

OEE

0%100%

97.7%

Quality Rate

0%100%

📈

Defect Rate Trend 7 Hari

🤖

AI Agents Status

🏭 Line Monitor

L3 & L4 STOPPAGE DETECTED

ALERT

🔍 QC Agent

97.7% PASS RATE · VISION AI ON

LIVE

⚙️ Maintenance Agent

PREDICTIVE · 3 ALERT WEEK

LIVE

OEE Overall

📊

79.2%

Target 85%

Availability

✅

92.4%

Downtime 7.6%

Performance

⚡

87.8%

Speed loss 12.2%

Quality Rate

🎯

97.7%

Defect 2.3%

🏭

Output per Line Produksi

🗺️

Station Utilization Heatmap

S1S2S3S4S5

Putih = idle · Merah gelap = utilisasi penuh · Hitam = shutdown

⏰

Stoppage Log Hari Ini

Line	Pukul	Durasi	Penyebab	Dampak
L3-Welding	08:24	18 mnt	Robot Arm Error	-72 unit
L4-Assembly	10:15	11 mnt	Conveyor jammed	-44 unit
L1-Casting	06:30	4 mnt	Startup delay	-16 unit

Defect Rate

✅

2.3%

↓ dari 3.8% (2 bln lalu)

First Pass Yield

🎯

97.7%

↑ +0.4% vs minggu lalu

Customer Returns

📦

0.08%

Target <0.1% ✅

DPMO

📊

23,000

Sigma Level 3.5

📊

SPC Control Chart — Dimensi Utama (10mm ± 0.1mm)

REAL-TIME

UCL: 10.10mm CL: 10.00mm LCL: 9.90mm

⚠️ Sample ke-10 mendekati UCL (10.08mm) — AI flag untuk investigasi

🔍

Top Defect Issues

Dimensi Over/Under (+35%)280 unit hari ini

Surface Scratch/Dent (25%)200 unit

Weld Defect (20%)160 unit

Assembly Gap (15%)120 unit

Other (5%)40 unit

🤖

AI Quality Insights

🔍 Vision AI Defect Detection

AI camera mendeteksi surface defect 0.3mm — lebih sensitif dari inspeksi manual (threshold 0.5mm). Catch rate naik dari 89% ke 97.7%.

97.7% detection accuracy

📊 Dimensional Drift Alert

Dimensi L3-Welding drift ke UCL — AI prediksi butuh recalibration robot dalam 4 jam. Preventive action vs 18 mnt stoppage tadi.

MTBF

⏱️

247 jam

Mean Time Between Failures

MTTR

🔧

42 mnt

Mean Time To Repair

PM Compliance

✅

94%

Preventive maintenance

Maintenance Cost

💰

Rp 84jt/bln

↓ -18% vs manual

🔧

Equipment Health Monitor

Equipment	Vibration	Temp	Oil	Runtime	Predicted Failure	Maint Status
Robot Welding L3	8.4 mm/s ⚠️	72°C	68%	1,247 hrs	5±2 hari	SCHEDULE NOW
CNC L2-01	2.1 mm/s	58°C	92%	824 hrs	>30 hari	NORMAL
Conveyor L4	4.8 mm/s	65°C	74%	2,184 hrs	12±3 hari	MONITOR
Hydraulic Press L1	1.8 mm/s	54°C	88%	640 hrs	>45 hari	NORMAL
Paint Booth L6	2.4 mm/s	42°C	96%	384 hrs	>60 hari	NORMAL

🤖

AI Maintenance Predictions

⚠️ Robot Welding L3 — URGENT

Vibration naik dari 2.1 ke 8.4 mm/s dalam 72 jam — bearing failure imminent. Schedule penggantian bearing SEKARANG — sebelum breakdown total. Estimasi repair cost bearing: Rp 2.4jt vs breakdown: Rp 28jt.

89% failure prediction accuracy

🔧 Conveyor L4 — 12 Hari

Oil degradasi 74% + vibration 4.8mm/s. PM scheduled Sabtu (planned downtime). Replacement parts sudah di-order.

87% prediction accuracy

💰

Maintenance ROI

Biaya PM (Preventive)Rp 84jt/bln

Breakdown Prevented (AI)6 × avg Rp 48jt

Production Loss Prevented~2,400 unit × Rp 45rb

Net Savings via AI PMRp 204jt/bln

Revenue Bulan Ini

💰

Rp 2.8M

2,800 unit × Rp 1jt avg

COGS per Unit

📊

Rp 620rb

Target Rp 600rb

Gross Margin

📈

38%

Target 35% ✅

Reject Cost

⚠️

Rp 28.4jt

800 unit × Rp 35.5rb

📊

P&L Bulan Ini

Revenue (61,600 unit × Rp 1jt avg)Rp 2,800,000,000

Raw Material (42%)-Rp 1,176,000,000

Labor Direct (18%)-Rp 504,000,000

Manufacturing OH (16%)-Rp 448,000,000

Quality Reject Cost-Rp 28,400,000

GROSS PROFIT (23%)Rp 643,600,000

🤖

AI Cost Optimization

💡 Defect Cost Reduction

Defect turun dari 3.8% ke 2.3% — saving Rp 68jt/bln dari reprocess & scrap. Target 1.5% dalam 3 bulan dengan SPC AI real-time.

⚡ Energy Optimization

AI jadwal produksi intensive ke off-peak hours (22:00-05:00). Energy rate Rp 1,200 vs Rp 1,600/kWh peak. Saving Rp 42jt/bln.

📦 Material Yield AI

AI optimasi cutting pattern raw material — material yield naik dari 84.2% ke 87.8%. Saving Rp 28jt/bln raw material.

Total AI Savings

💰

Rp 342jt/bln

Quality+Maint+Energy

Defect Reduction

🔍

↓ 39.5%

3.8%→2.3% defect

OEE Improvement

📊

↑ +4.2%

75%→79.2% in 3 bln

🔍 Vision AI Quality Control

AI camera 4K inspect setiap unit — 97.7% defect detection rate vs 89% manual. Real-time SPC monitoring. Alert sebelum batch defect menyebar.

97.7% detection accuracy

⚙️ Predictive Maintenance

ML model analisis 18 sensor per mesin — predict failure 7-14 hari sebelumnya. Robot L3 failure tadi tidak dicegah karena alert diabaikan — protocol diperketat.

89% accuracy

🏭 OEE Real-time Tracking

AI breakdown OEE per menit per line — Availability × Performance × Quality. Otomatis alert saat OEE drop >3% dari baseline.

⚡ Energy Intelligence

AI prediksi demand energy per shift dan jadwal produksi hemat — off-peak scheduling. Saving Rp 42jt/bln energy cost.

📊

AI Impact Manufacturing

Vision QC Accuracy97.7%

Predictive Maintenance89%

OEE Optimization84%

Energy Optimization91%

Production Scheduling87%

Quality Improvement (defect -39.5%)Rp 68jt/bln

Maintenance Prevention (6 events)Rp 204jt/bln

Energy + Material OptimizationRp 70jt/bln

TOTAL AI VALUERp 342jt/bln