Manufacturing Iot Devices

PT Dharma Precision Parts

Smart Factory Rollout for Automotive Parts Manufacturer

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81%

OEE (from 62%)

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2.1%

Scrap Rate (from 8.5%)

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94%

Predictive Accuracy

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Rp 6.8B

Annual Savings

Technologies Used:
OPC-UAInfluxDBPython MLGrafanaMQTTTensorFlow Lite
01 / Challenge

The Problem

Production lines ran at 62% OEE with frequent unplanned stops. Quality issues were only discovered at end-of-line inspection, causing 8.5% scrap rate.

02 / Solution

What We Built

We installed 180 vibration and temperature sensors on CNC machines. ML models predict tooling replacement 4-6 hours in advance. Inline quality sensors detect dimensional deviations and trigger automatic machine parameter adjustments.

03 / Results

The Outcomes

OEE improved from 62% to 81% in 9 months. Scrap rate dropped to 2.1%. Annual savings: Rp 6.8 billion.

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