South KoreaManufacturing2023 – ongoing

Pyung Hwa Industrial

AI test-equipment failure prediction and scheduling

ComputerMate said Pyung Hwa Industrial cut test scheduling from 13 minutes to 2

WorkingVendor case study

Problem

Test-equipment failures previously triggered a response only after breakdowns occurred. Scheduling and monitoring also required work that limited testing efficiency.

Approach

ComputerMate installed AI-based test management and equipment-failure prediction at Pyung Hwa Industrial through a regional AI support program. The system predicted failures and proposed test schedules. Automatically collected test data supported real-time monitoring.

Results

2 minutesscheduling time per test request, down from 13 minutes, according to ComputerMateVendor case study[1]

0.439%test-equipment abnormality rate, down from 1.292%, according to ComputerMateVendor case study[1]

Takeaway

The installation combined maintenance prediction with scheduling within the same testing workflow.

Sources

컴퓨터메이트, 자동차 부품 생산라인 맞춤형 AI 솔루션 개발
Maeil Business Newspaper17 Nov 2023News article

Source summaries

[1]Maeil Business Newspaper17 Nov 2023

ComputerMate described a deployed testing solution at Pyung Hwa Industrial. It reported scheduling time falling from 13 minutes to 2 and the equipment abnormality rate falling from 1.292% to 0.439%.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026