Borey Advanced ASMPT SMT Analytics: Professional Technical Software
2025-08-05

ASMPT's latest SMT Analytics software can deeply evaluate SMT processes, helping to identify and locate problem areas that are often overlooked, resulting in poor efficiency and performance. This software can not only help employees identify the root cause of problems, but also accurately point out performance losses and determine potential improvement directions.
Today's SMT production lines have their own unique features. The diverse configurations and interwoven technologies within the production line form a deep dependency relationship, which in turn constitutes a highly complex system. There are various reasons behind poor performance, such as logistics issues, employee scheduling problems, or even technical difficulties related to machines.
Why has the production time of this batch of products been extended from 25 seconds to 30 seconds? To answer this question, we need to comprehensively analyze the SMT production process and deeply explore the real reasons for the decrease in production efficiency. This requires experienced employees who have developed a keen intuition through long-term experience accumulation and can quickly identify the problem. However, such professionals are not common.
Now, with ASMPT's SMT Analytics software, we can easily solve these problems. This software is based on the most advanced data processing technology and is capable of analyzing data streams. Users can customize various dashboards and conduct descriptive analysis according to their own needs and process structures. Through clear use cases, we can monitor various KPIs (key performance indicators) in real-time, delve into the root causes of problems, and display historical, real-time, and reference data in a clear and relevant manner. Adhering to the open automation concept proposed by ASMPT for integrated manufacturing, SMT Analytics will also be able to seamlessly integrate with third-party systems in the future.

Electronic product manufacturers can utilize SMT Analytics to address issues related to time, conditions, and materials, and maximize production capacity in various application scenarios.
Through precise time series analysis, SMT Analytics utilizes intelligent data association technology to effectively reveal deceleration and performance bottlenecks in production processes. This software not only has the ability to detect and prevent performance deficiencies in real-time, but also provides powerful decision support for long-term process optimization by analyzing changes in cycle time. In addition, through conditional analysis, SMT Analytics provides more practical cases to enhance performance. In the upcoming version, we will provide detailed statistical data on production availability, placement areas, production lines, and system status to help employees accurately identify changes or deficiencies in production. At the same time, the software can accurately analyze downtime caused by equipment failures, providing detailed information on the reasons and duration of downtime. Through these precise data, employees can take effective measures for specific mounting areas to solve the problem of insufficient production capacity. In addition, SMT Analytics also helps employees gain a deeper understanding of component quality and its performance in operational processes and supply chains through material analysis. At the same time, through the analysis of the total throwing rate, the software can accurately track and display the performance peaks that occur over time, providing important decision-making basis for enterprises to continuously improve their production processes.

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