Industry Cases

Tailored for each industry
Smart factory application examples

Check out how IU Lab’s solutions are creating innovation in actual industrial settings. We introduce success stories from various industries.

Semiconductor Parts

Computerization of semiconductor parts X-ray/SMT process

By collecting and analyzing X-ray inspection data and SMT equipment logs in real time, we computerized quality history and blocked defective leaks at the source.

#SMT Digitalization#X-ray Inspection#Quality Control

Traceability

100%

Defect Rate

-40%

Railway Components

Computerization of railway parts drawings and assembly lines

We converted paper drawings to tablet-based digital drawings and tracked the work history of the assembly process in real time to increase production efficiency.

#Digital Blueprint#Assembly Line#Paperless

Lead Time

-30%

Work Efficiency

+25%

Injection Molding

Injection molding machine IoT integration and process optimization

Key process variables such as mold temperature and injection pressure were collected using IoT sensors, and defect occurrence patterns were analyzed to derive optimal molding conditions.

#IoT Monitoring#Mold Process#Defect Tracking

Energy Cost

-12%

OEE

+20%

Display Equipment

Display coating machine/vision inspection linkage

By analyzing the coating equipment's control data and vision inspection results (AOI) in conjunction with each other, defects due to coating thickness deviation are corrected in real time.

#Vision Integration#Coating Process#Feedback Loop

Yield Rate

+5%

Setup Time

-50%

Welding & Fabrication

Welding process digital work management system

Process transparency was secured by distributing the latest design drawings through tablets and tallying workers' welding schedules and performance in real time.

#Tablet Work Order#Schedule Mgmt#Smart Welding

Schedule Adherence

98%

Admin Work

-60%

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Quick Answers

Key answers about industry-specific implementation

How implementation differs by industry and what remains consistent.

Does implementation differ by industry?

Processes, traceability units, quality standards, and equipment protocols differ, while the core approach remains data collection, standardization, and workflow integration.

Can legacy equipment be connected?

PLC, serial, TCP/IP, sensor, and database conditions are assessed before required data is connected through a gateway or Resource Lake.

Where should a project start?

Projects commonly begin with measurable areas such as traceability, production results, quality, equipment utilization, or inventory.

Reviewed by: IYULAB technical team
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