Production Intelligence

Plant Karawang · Shift 1 · 12 Jun 2026 09:43

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Factory Health Score™

74.8%
-3.2%
vs yesterday

OEE Factory

73.5%
-4.1%
vs target 85%

Production Attainment

71.4%
-8.6%
vs plan 80%

Throughput

46,530pcs
+2.1%
vs last shift

Capacity Utilization

68.2%
-5.8%
vs target 85%

Revenue at Risk™

Rp 64.3M
+12.4%
vs yesterday

OEE Intelligence Center

Factory → Line → Machine drill-down · Real-time

Factory OEE 73.5%Target: 85%

OEE Trend — Factory Level

Availability & OEE over time vs 85% target

Factory OEE Breakdown

Availability
Target: 90%85.7%
Performance
Target: 95%87.6%
Quality
Target: 99%97.7%
OEE
Target: 85%73.5%

OEE Gap Analysis

11.5pp below target — Availability is the primary drag. MC-07 breakdown accounts for 4.2pp of availability loss.

Line OEE Overview — Click to drill down

Line 1 — BumperOEE
84.8%

Avail.

92.4%

Perf.

93.1%

Qual.

98.5%

Line 2 — DoorOEE
78.6%

Avail.

88.2%

Perf.

90.8%

Qual.

98.1%

Line 3 — ClipOEE
72.3%

Avail.

84.1%

Perf.

87.4%

Qual.

98.4%

Line 4 — ReservoirOEE
58.4%

Avail.

69.2%

Perf.

85.8%

Qual.

98.3%

Line 5 — GrommetOEE
71.8%

Avail.

83.6%

Perf.

87.9%

Qual.

97.8%

Line 6 — RubberOEE
74.1%

Avail.

84.2%

Perf.

89.3%

Qual.

98.2%

Efficiency Intelligence

Machine-level OEE ranking · Drill-down enabled

3 Top Performers3 Critical
12 machines
Machine
Line
Status
OEE %
Avail %
Perf %
Qual %
Output
Attain %
Cycle (s)
NG %
Action
MC-05 Fanuc RoboshotLine 3Running91.2%96.4%96.1%98.4%12,400
95%
8.2s1.6%
MC-01 Arburg 370SLine 1Running87.4%93.2%95.1%98.5%2,840
95%
28.4s1.5%
MC-10 Netstal ElionLine 5Running84.7%92.8%92.4%98.9%3,680
92%
22.1s1.1%
MC-02 Engel 500TLine 1Running82.1%91.4%91.2%98.7%1,240
89%
45.2s1.3%
MC-03 Haitian MA900Line 2Running79.3%88.7%91.5%97.8%5,620
91%
18.7s2.2%
MC-06 Sumitomo 180TLine 3Running76.8%85.3%91.8%98.0%8,100
88%
12.4s2.0%
MC-11 Battenfeld 400Line 6Running73.9%84.2%89.3%98.2%4,100
79%
16.8s1.8%
MC-08 Milacron T225Line 4Running71.4%82.1%88.4%98.4%960
80%
34.8s1.6%
MC-09 Toyo Ti-150Line 5Running68.2%79.4%87.6%98.0%7,200
80%
14.1s2.0%
MC-04 KraussMaffei 200Line 2Setup
MC-07 Husky H300Line 4Breakdown
MC-12 Demag 350TLine 6PM

Production Achievement

Hourly plan vs actual output

Daily Plan

65,200

Actual

46,530

Variance

-18,670

Plan
Actual

Hourly Rate

5,820

pcs/hr

Daily Output

46,530

pcs

Attainment

71.4%

Shift Gap

-18,670

pcs

Production Loss Tree

Interactive capacity waterfall — click each node for root cause

28.6% Total Loss
Production Capacity
100.0%
Breakdown Loss
Rp 18.9M1,260 kg8.4%
Setup & Changeover Loss
Rp 9.4M630 kg4.2%
Material Shortage Loss
Rp 4.7M315 kg2.1%
Waiting QC Loss
Rp 4.1M270 kg1.8%
Minor Stop Loss
Rp 8.1M540 kg3.6%
Reduced Speed Loss
Rp 12.8M855 kg5.7%
Quality Loss (NG)
Rp 6.3M420 kg2.8%
Actual Output
71.4%

Total production loss today: 28.6% of capacity — equivalent to Rp 64.3M revenue at risk

Material Efficiency Intelligence

BOM standard vs actual consumption · Factory level

Material Waste Cost™Rp 17.5M

Material Yield

94.2%

Target: 97.0%

Usage Efficiency

91.8%

Target: 96.0%

Consumption Ratio

1.089

Target: 1.040

Material Variance

+8.9%

Target: <4.0%

1,160kg waste
Startup Loss312 kgRp 4.7M
Process Loss186 kgRp 2.8M
NG Loss (Scrap)420 kgRp 6.3M
Rework Loss144 kgRp 2.2M
Over Consumption98 kgRp 1.5M
Total Waste CostRp 17.5M

Material Consumption vs BOM Standard

Top 6 materials by variance · Today Shift 1

Material CodeDescriptionBOM Std (kg)Actual (kg)VarianceVariance %
PP-HM-007PP Homopolymer Grade 71240.01463.2+223.2+18.0%
ABS-G-022ABS General Purpose840.0924.6+84.6+10.1%
EPDM-R-04EPDM Rubber Compound620.0658.4+38.4+6.2%
PA66-GF30Nylon 66 GF 30%380.0399.8+19.8+5.2%
PC-HI-011Polycarbonate HI Grade290.0301.8+11.8+4.1%
TPE-S-008TPE Styrenic Block180.0183.6+3.6+2.0%

Injection & Rubber Manufacturing Intelligence

Cycle time, mold health, shot count analytics

3 Molds at Risk

Cycle Time: Actual vs Ideal (seconds)

Mold Health & Shot Count

M-001MC-01
48,200 / 60,00088%
M-007MC-02
31,400 / 50,00094%
M-024MC-03
57,800 / 60,00062%
M-031MC-05
22,100 / 80,00097%
M-042MC-06
44,600 / 60,00078%
M-019MC-07
38,900 / 50,00045%

SMED & Line Balancing Intelligence

Changeover performance and bottleneck analysis

Changeover Time by Line (minutes)

Line 1
48mSMED
Line 2
62mNo SMED
Line 3
126mNo SMED
Line 4
55mNo SMED
Line 5
41mSMED
Line 6
38mSMED

| = 30 min target · SMED lines avg 42m vs 81m non-SMED

Line Balancing Score

Line 1

88

Line 2

74

Line 3

61

Line 4

42

Line 5

71

Line 6

79

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