From Intelligent to Low-Carbon — WISE-IoT Powers YAGEO’s Manufacturing Transformation
26.05.2025
Due to the trend of digital transformation, leading passive component manufacturer YAGEO Corporation has adopted a comprehensive suite of Advantech’s WISE-IoT solutions at its Kaohsiung Nanzih plant in Taiwan, which includes the iVisionSuite SignageCMS app for facility-wide digital signage, MachineUnite from iMachine for intelligent processing and equipment management, and ECOWatch from iEMS for smart energy management. By integrating these solutions, YAGEO is not only digitizing its factory management but also advancing toward a low-carbon, sustainable model. Gradually, the Nanzih plant is becoming a benchmark for next-generation smart manufacturing.

Advantech Linkou Campus Inspires a Blueprint for Smart Manufacturing
In pursuit of new technological applications, YAGEO aims to initiate a comprehensive transformation at its Nanzih plant to achieve visualized, data-driven factory management. The implementation of Advantech’s MachineUnite in 2019 marked the first step in bringing the blueprint of digital transformation to life.
As customer demand for quality, lead time, and product traceability continues to grow, the old practice of manually recording equipment and production line data could no longer meet audit requirements. MachineUnite enables real-time data collection and logging, which not only eliminates human error but also significantly improves the timeliness, accuracy, and traceability of production data. Additionally, by integrating MachineUnite with SignageCMS, key production line information—such as job progress, task assignments, machine and material status, and work instructions—can be displayed on digital signage. This enables more agile production scheduling and real-time adjustments, while also allowing for data-driven optimization of overall efficiency. As a result, unexpected disruptions on the production line can be minimized, reducing their impact on product quality and delivery timelines.
MachineUnite Enables Visual Management and Delivers Four Key Benefits
With the visualized interface of MachineUnite, YAGEO can monitor the status of each floor and production line in real time. When an abnormal drop in utilization occurs, they can quickly trace it to the source, identify the root cause, and take corrective action. This shift from reactive to proactive management allows the plant to optimize production performance more efficiently.
More specifically, the implementation of MachineUnite has delivered four major benefits to the Nanzih plant:
- First, it has improved OEE and utilization rates. For example, in the ST process, the utilization rate in Q1 of 2024 was 78%. Following the deployment of MachineUnite, the average utilization rate increased to 88.5% from Q2 to Q4—a gain of roughly 10 percentage points.
- Second, it has reduced the occurrence of equipment failures. With 24/7 monitoring of equipment status, MachineUnite immediately alerts relevant personnel in the event of an unexpected shutdown. This enables timely intervention, lowering the frequency of breakdowns and minimizing the risk of extended or unplanned downtime.
- Third, it has increased production efficiency. MachineUnite continuously monitors and analyzes trends in Overall Equipment Effectiveness (OEE), enabling plant managers to quickly identify production bottlenecks and make necessary optimizations.
- Fourth, it has fostered a data-driven management culture. Whereas performance evaluations previously relied largely on intuition and experience, managers can now assess employees using objective metrics, such as the utilization rates of the machines they operate.
The First Step in Green Transformation Starts with Energy Data Collection via ECOWatch
YAGEO is also aligning with the global push toward net-zero carbon emissions by deploying ECOWatch at its Nanzih plant to boost energy efficiency. Chen expects that by collecting and analyzing energy data through ECOWatch, the facility can identify key energy-consuming equipment and uncover opportunities for energy savings. These insights will enable the plant to establish effective and realistic carbon reduction measures and performance indicators—transforming environmental sustainability into a source of competitive advantage.
YAGEO’s continued deep collaboration with Advantech is fuelled not only by Advantech’s own experience in smart factory transformation but also by the high product quality and stability, as well as the professionalism and efficiency of its services. Most importantly, Advantech’s pragmatic and dedicated service spirit allows MachineUnite to better align with YAGEO’s operational context, maximizing the benefits of its implementation and enhancing YAGEO’s overall productivity and competitive edge.
| Company Profile: YAGEO |
- Established: 1977
- Industry: Electronics
- Headquarters: Taiwan
- Operations: Manufacturing of resistors, capacitors, wireless, and protection components.
- Company size: Multinational manufacturing enterprise
| Case Benefits |
- Effectively improved the utilization rate across various processes; for example, the utilization rate of the ST process increased from 78% to 88.5%.
- Implemented 24-hour monitoring of equipment status to promptly identify and address potential issues, reducing the risk of long-term or unexpected downtime.
- Monitored and analyzed OEE indicators to effectively identify and resolve production process bottlenecks.
- Generated data reports that enhanced decision-making accuracy, thereby fostering a data-driven management culture.
| Advantech WISE-IoT Solutions |
- MachineUnite is a lifecycle management solution for industrial equipment, conveying equipment, and machinery. It helps manufacturers and multi-type production facilities upgrade their intelligent operations and maintenance capabilities.
- ECOWatch Energy Management monitors the consumption of water, electricity, gas, steam, and renewable energy, integrating all data for analysis. It helps companies save energy and achieve their carbon reduction goals.
| About Advantech WISE-IoT |
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