最後更新:2026.06.22
February 11, 2026 | Author: Chi-Tang Cheng
SPC
Semiconductor
Electronic-Grade Chemicals
Cross-Border Deployment
About This Case
Chang Chun Arizona LLC (CCAZ), a U.S. subsidiary of Chang Chun Group, deployed the MiDFUN SPC statistical process control system, rapidly replicating the proven rollout experience of the Taiwan plant at the U.S. plant. The MiDFUN SPC system integrates data acquisition, inspection process control, anomaly alerts via the Western Electric Rules, and Pareto quality analysis, and offers a bilingual Chinese-English interface, helping Chang Chun shift its process quality management for semiconductor electronic-grade chemicals from “after-the-fact review” to “real-time prevention.”
Customer Profile: Chang Chun Arizona Plant
Chang Chun Arizona LLC (CCAZ), a U.S. subsidiary of Chang Chun Group, is the group’s electronic-grade chemical manufacturing site in Casa Grande, Arizona. Founded in 1949, Chang Chun Group has annual revenue of about USD 8 billion and is Taiwan’s largest supplier of wet chemicals and litho-chemicals for the semiconductor industry.
Built with a USD 300 million investment, the Arizona plant primarily produces the high-purity electronic-grade chemicals indispensable to semiconductor processes, including electronic-grade hydrogen peroxide, tetramethylammonium hydroxide (TMAH) developer, electronic-grade solutions, and plating solutions. The plant is a core member of TSMC’s localized supply chain for its Phoenix wafer fab, providing critical raw-material support for U.S. semiconductor manufacturing.
In precision electronic chemicals, even a tiny concentration deviation or impurity fluctuation can damage downstream wafer yield, so quality stability is a company’s core competitive advantage.
Project Background: Quality Control Needs of the New U.S. Plant
Before deploying the MiDFUN SPC system, the Chang Chun Arizona plant faced the following quality management pain points:
Cross-Border Management and Standard Synchronization
As an overseas expansion project of Chang Chun Group, ensuring that the U.S. plant’s quality control logic stayed in sync with Taiwan headquarters while also complying with local U.S. operating practices and regulations was a major challenge in the early plant-building phase.
Lagging Early Warning Mechanism
Traditional management models were largely “after-the-fact review.” By the time a nonconforming product was discovered, large amounts of waste had often already been produced, lacking the trend-analysis capability for “up-front prevention.” For electronic-grade chemicals, a single batch of nonconforming product can directly affect the wafer yield of downstream semiconductor customers.
Customer Audit Pressure
Semiconductor customers have extremely high data integrity requirements for their suppliers and need to review process capability Cpk reports and anomaly handling tracking records at any time. Manual compilation struggles to meet the requirements for timeliness and accuracy.
Deployment Approach: Rapidly Replicating Taiwan’s Experience at the U.S. Plant
This project deployed the MiDFUN SPC statistical process control system. The MiDFUN SPC system is not merely a tool for plotting control charts, but an integrated management platform combining data acquisition, inspection data process control, anomaly alerting, and quality analytics. To meet the needs of the Chang Chun Arizona plant, the MiDFUN SPC system achieved a digital transformation of quality management in the following ways:
Direct Transfer of Taiwan Experience
Building on the MiDFUN SPC system rollout experience at Chang Chun Group’s Taiwan plant, the successful case was transferred directly to the U.S. plant for rollout. This cross-border experience transfer model not only saved system rollout time but also avoided the issues the Taiwan plant had encountered during its own deployment, substantially reducing the deployment risk for the overseas plant.
Real-Time Data Alerts
The MiDFUN SPC system has built-in anomaly detection rules such as the Western Electric Rules. Once data triggers an abnormal trend — for example, consecutive rising points or deviation from the center line — the system immediately sends an email notification to the engineer. The engineer can enter the cause and handling of the anomaly into the system, after which Pareto chart analysis can be used to analyze anomaly causes and pinpoint the most frequent sources of problems.
Intuitive Presentation of Process Capability
The MiDFUN SPC system turns complex statistical data such as Cpk (process capability index), Ca (accuracy), and Cp (precision) into intuitive visual displays through a search interface. Managers can see the operating status of each production line at a glance and can quickly produce the required reports during customer audits.
Bilingual Chinese-English Interface
The MiDFUN SPC system offers a Chinese-English interface toggle, making it convenient for experts at Taiwan headquarters to provide remote guidance while also allowing local U.S. staff to operate smoothly in English. This multilingual design is especially critical for deploying a quality management system when a Taiwanese company sets up a plant overseas.
Deployment Scope and Results
| Pain Point | MiDFUN SPC System Solution | Result |
|---|---|---|
| Cross-border management standards out of sync | Directly replicate the Taiwan plant’s proven experience at the U.S. plant | Saved rollout time and avoided repeating pitfalls |
| Lagging early warning, anomalies found only after the fact | Real-time alerts via the Western Electric Rules + email notification | Shifted from after-the-fact review to up-front prevention |
| Customer audits required manual report compilation | Intuitive Cpk/Cp/Ca presentation via search interface | Quickly produced the reports required for audits |
| Anomaly cause analysis relied on manual judgment | Anomaly handling records + Pareto analysis | Systematically pinpointed the most frequent sources of problems |
| Language barrier for overseas staff operation | Bilingual Chinese-English interface toggle | Balanced Taiwan-based remote guidance with U.S. local operation |
Conclusion
By deploying the MiDFUN SPC system, the Chang Chun Arizona plant successfully advanced its quality management from “manual” toward “digital and intelligent.” The model of building on the Taiwan plant’s rollout experience and rapidly replicating it at the U.S. plant proves the portability and practicality of the MiDFUN SPC system in a cross-border environment. This not only meets the semiconductor industry’s stringent quality requirements for suppliers, but also lays a solid quality-data foundation for Chang Chun Group’s positioning in the global semiconductor supply chain.
Key Terms
| SPC | Statistical Process Control. Uses control charts and statistical methods to monitor process stability in real time and detect abnormal trends early. |
| Cpk | Process Capability Index. Comprehensively reflects the precision and accuracy of a process; the higher the value, the more stable the process and the better it conforms to specifications. |
| Western Electric Rules | A set of anomaly detection rules for control charts that can detect abnormal patterns such as consecutive rising points, deviation from the center line, and cyclical fluctuations. |
| Data Integrity | Ensuring the accuracy, consistency, and traceability of data throughout its entire lifecycle; a basic requirement that semiconductor customers place on their suppliers. |
Source: AIAG SPC Reference Manual, Western Electric
Frequently Asked Questions
Q: How is an SPC system different from an Excel control chart?
A: The MiDFUN SPC system is an integrated management platform combining data acquisition, inspection process control, anomaly alerting, and quality analysis, whereas Excel can only produce static charts. The SPC system has built-in Western Electric Rules; when data triggers an abnormal trend it sends an email notification to the engineer in real time, and it supports anomaly cause recording and Pareto analysis, achieving the shift from “after-the-fact review” to “real-time prevention.”
Q: Why did Chang Chun’s U.S. plant need to deploy SPC?
A: The Chang Chun Arizona plant produces electronic-grade chemicals for semiconductors, where even a tiny concentration deviation can affect downstream wafer yield. Deploying the MiDFUN SPC system enables real-time monitoring of process data and automatic anomaly alerts, meeting semiconductor customers’ stringent audit requirements for data integrity and Cpk reports.
Q: Can MiDFUN SPC be deployed across borders? Does it have an English interface?
A: Yes. The MiDFUN SPC system offers a bilingual Chinese-English interface toggle. The Chang Chun case is built on the Taiwan plant’s successful experience, directly replicated to the U.S. Arizona plant. This cross-border experience transfer model saves rollout time and avoids the issues the Taiwan plant had previously encountered.
Q: Can the SPC system’s Cpk reports be shown directly to customers?
A: Yes. The MiDFUN SPC system presents statistical data such as Cpk, Ca, and Cp intuitively through a search interface. The process capability reports and anomaly handling tracking records that customers need during audits can be generated directly from the system, with no need to manually compile Excel files.
Q: When Taiwanese companies set up plants overseas, what should they watch for in deploying a quality management system?
A: Based on the deployment experience of the Chang Chun Arizona plant, three points are key: (1) prioritize directly replicating proven headquarters experience to avoid starting from scratch; (2) choose a system that supports a multilingual interface, so that Taiwan-based remote guidance and local operation both run smoothly; (3) the system architecture must support cross-border data integration, so quality assurance managers can monitor the quality status of overseas plants in real time from headquarters. MiDFUN‘s SPC system offers a bilingual Chinese-English interface and already has a deployment track record at multiple overseas plants of Taiwanese companies, including in the U.S., Thailand, and China.
About MiDFUN
MiDFUN has focused on manufacturing quality management software since 1993, accumulating over 30 years of cross-industry deployment experience. MiDFUN’s systems feature a multilingual Chinese-English interface and cross-border experience transfer capability, making them especially suited to Taiwanese manufacturers with overseas plant needs. The product line spans
SPC Statistical Process Control,
FMEA Failure Mode Analysis,
MSA Measurement System Analysis,
SQM Supplier Quality Management, and more, offering a one-stop solution from quality planning to data analysis.
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