Borey Advanced: ASMPT's SMT Analytics Makes Capacity Optimization More Precise and Intelligent

 

Today's SMT production lines exhibit clear differentiation, with diverse internal configurations and interdependent, tightly integrated technical processes that together form an exceptionally complex system. As a result, challenges—whether in logistics, workforce scheduling, or machine-related technical issues—can all potentially lead to insufficient production capacity.

 

If we want to identify the root cause of poor production efficiency, we need a comprehensive analysis of the SMT manufacturing process. Such analyses typically rely on experienced senior engineers, whose years of expertise enable them to quickly spot and diagnose issues. However, these specialized talents are scarce, and their knowledge is difficult to pass down, making it a significant challenge to troubleshoot and resolve problems effectively.

 

For this, ASMPT We’ve launched a professional analysis software called SMT Analytics, designed to provide in-depth evaluations of SMT processes. This tool not only helps operators identify and pinpoint issues that are often overlooked—problems that can lead to inefficiencies and subpar performance—but also accurately highlights areas where performance is being lost and points toward clear paths for potential improvements.

 

From data visualization to action optimization

 

SMT Analytics software leverages advanced data-processing technology to analyze the entire data flow of the production process. Electronic product manufacturers can customize dashboards based on their specific needs and process structures, enabling them to perform descriptive analytics and monitor KPIs (Key Performance Indicators) in real time. The system seamlessly integrates historical, real-time, and reference data, helping users quickly identify performance bottlenecks, pinpoint root causes of issues, and clearly define potential areas for optimization.
 

Adhering to ASMPT’s open automation philosophy, SMT Analytics not only supports seamless integration with third-party systems in the future but also provides electronics manufacturers with practical, implementable process improvement solutions tailored to specific application scenarios. This ensures that production data is not just "visible," but also "actionable," significantly enhancing line transparency, response speed, and overall operational efficiency.

 

Comprehensive coverage of key production factors

 

SMT Analytics delivers deep insights across three key dimensions—time, conditions, and materials—enabling electronic manufacturers to identify and address efficiency bottlenecks in their production lines. Leveraging advanced time-series analysis and intelligent data-correlation techniques, it uncovers the root causes behind issues like extended production times and reduced efficiency. Additionally, by analyzing trends in cycle-time variations, SMT Analytics provides valuable guidance for long-term process optimization.
 

The condition analysis feature provides detailed statistics on production availability, mounting areas, line status, and more. SMT Analytics enables operators to quickly identify the specific areas where performance has declined. Meanwhile, the downtime analysis function accurately tracks the causes and duration of equipment failures, making it easier to implement targeted improvements.

 

Optimizing Material Usage and Quality Control

In material management, SMT Analytics provides in-depth insights into the quality performance of components throughout operational processes and the supply chain. By analyzing overall scrap rates and trend data, it visually highlights peak periods of material waste as well as underlying issues. These insights serve as a reliable foundation for reducing defects, improving yield rates, and optimizing the supply chain. As a result, electronic manufacturing companies can not only boost their production capacity but also continuously refine their processes, keep costs under control, and achieve more stable, sustainable operations.

 

SMT Analytics aims to help electronic manufacturers get the most out of their existing ASMPT equipment by maximizing device performance and efficiency.