Delta DIASPC Empowers Smarter Quality Decisions for a Global Home Appliance Brand

As global manufacturing expands and production processes become more complex, maintaining consistent quality has become critical for enterprises to stay competitive. A key focus in quality management today is how businesses integrate process data, detect anomalies, and improve yield rates amid challenges such as multi-site operations and fragmented systems.

A leading Taiwanese home appliance brand with multiple global manufacturing sites, each operating over 200 machines and integrating more than 15 different production systems, faced significant challenges in quality data collection and analysis. Previously, on-site operators manually recorded measurement data such as dimensions, thickness, and angles using paper forms or Excel files. When anomalies occurred, quality engineers had to manually consolidate and analyze data from different lines, which was time-consuming and often failed to pinpoint root causes, significantly delaying resolution.

To address these challenges, the company adopted Delta’s DIASPC Statistical Process Control System. With its real-time monitoring and anomaly alert mechanisms, manufacturing and quality teams can track production-line performance and identify potential problems such as dimensional deviations or pin bending before they escalate. Since deployment, the company has shortened root-cause investigation time by 70 percent—from more than 24 hours to just a few hours. This enabled real-time, cross-plant quality monitoring, significantly enhancing overall consistency of product quality.

DIASPC empowers manufacturers to shift from reactive problem-solving to proactive, data-driven quality control. When abnormal data trends are detected, the system automatically alerts relevant personnel to ensure timely intervention. It also retains complete anomaly histories and generates comprehensive statistical reports, including control charts, box plots, and trend graphs, helping managers quickly identify process variations and patterns. Furthermore, the system enables comprehensive data analysis across multiple production lines, machines, and supplier materials, integrating CPK process capability indices to instantly locate the root cause of quality deviations. Designed with user-based licensing and web architecture, DIASPC offers flexible scalability and rapid deployment across multiple manufacturing sites.

Benefits of implementing DIASPC include:

1. Quality Improvement through Process Data Analysis
Tracks and records anomaly histories, leveraging multi-dimensional data analysis to quickly identify root causes and enhance yield rates.

2. Real-Time Alerts to Reduce Response Time
Automatically detects and reports anomalies, significantly improving issue resolution efficiency.

3. Cross-Plant Integration with Flexible Scalability
Centralizes monitoring across multiple sites with flexible licensing to support deployments of varying scales.

With its powerful data analytics, visualized monitoring, and flexible architecture, DIASPC provides manufacturers with an efficient and precise quality-management solution. It helps enterprises enhance yield, reduce risk, and accelerate their transition toward smart manufacturing.