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Abstract teal light trails representing a connected smart factory

Why 5G for smart manufacturing

A smart factory depends on moving large amounts of data instantly and reliably. Ordinary networks struggle with that at scale, which is where 5G comes in.

Real-time data

5G moves data across the floor at high speed and very low delay, so machines and systems stay in sync.

AI & big data

That fast, steady connection lets AI and big-data analytics run on live production data, not after the fact.

Productivity

The result is more flexible operations, better predictive maintenance, and higher output.

The technology explained

ASE's network uses a specific combination of 5G technologies. Here is what each part means and why it was chosen.

What is 5G mmWave NR-DC?

5G New Radio (NR) is the global standard for 5G's air interface. It runs on mid-band frequencies below 6 GHz and on high-band millimeter wave (mmWave) frequencies from 24 to 52 GHz; Taiwan's mmWave uses 28 GHz. NR Dual Connectivity (NR-DC) connects equipment to both bands at the same time for more speed and coverage.

Why SA NR-DC?

Combining mid-band and mmWave gives low latency, high reliability, and very high speed. That mix suits factory automation, remote monitoring, and autonomous robots.

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The factory uses Qualcomm's Snapdragon X65 5G Modem-RF System with NR-DC software. By combining four 100 MHz carriers across the 2.6 GHz and 28 GHz bands (uplink four-carrier aggregation), it reaches an uplink speed of 600 Mbps.

Diagram explaining ASE's 5G mmWave NR-DC smart-factory network

Building the smart factory

In 2022, ASE announced a 5G mmWave NR-DC SA smart factory at its flagship Kaohsiung campus, built with five partners. The aim is a secure, reliable digital makeover of the factory, achieved by tying together three things: the 5G wireless network, the smart equipment on the floor, and OT (operational technology) security.

Smart-factory partner 1
Smart-factory partner 2
Smart-factory partner 3
Smart-factory partner 4
Smart-factory partner 5

What the collaboration is developing

AI anomaly detection

AI spots deviations from the standard operating procedure, helping staff keep yield quality and a safe working environment.

Yield optimization

Analyzing data from current and newly added equipment to raise productivity and fine-tune process parameters.

Smart material handling

Real-time inventory forecasting from delivery to the line, which cuts overall production cycle time.

Real-time AOI

High-bandwidth streaming delivers high-resolution inspection images in real time, improving accuracy and speed.

Faster reconfiguration

Stable, fast 5G shortens setup time when machines are re-arranged, improving overall equipment efficiency (OEE).

OT security

Protecting the reliability and safety of machines and tasks in a digitized manufacturing environment.

Use cases since 2020

Automated guided vehicle inspecting an ASE production line

AI + AGV line inspection

Cameras on self-driving vehicles, paired with AI analysis, take over routine line inspection from people. 5G mmWave gives the wide, low-latency coverage that Wi-Fi cannot, so the vehicles move freely around the floor.

Remote AR maintenance

Engineers diagnose and service equipment from a central control room using augmented reality. 5G streams the high-resolution images in real time, so they can adjust on the spot and bring in colleagues from other sites.

Engineer using augmented reality for remote equipment maintenance
Augmented-reality experience at ASE's Green Technology Education Center

AR @ Green Tech Education Center

At ASE's Green Technology Education Center, visitors explore the company's water-recycling work through an AR experience running on the private 5G mmWave network.

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