SMT analytics software with expert know-how

02-02-2024 | ASMPT | Industrial

The new SMT Analytics software from ASMPT evaluates the SMT process in detail by identifying and locating problematic aspects that often go unnoticed and can lead to shortfalls in efficiency and performance. The innovative software enables employees to detect the causes of trouble, highlight potential losses, and point out possible improvements.

Each line is unique in today's SMT production. The many configurations, far-reaching technical interrelationships, and dependencies within the production lines make them highly complex systems. Low performance can have many causes, such as logistical obstacles, inefficient staff scheduling, or machine-related problems.

Why does producing this batch take 30 seconds when it used to take only 25 seconds? To answer such questions, it is useful to perform an analysis in the overall context of the SMT production process to show which factors cause the loss of productivity. This calls for experienced employees who, over time, have developed a 'feeling' for why things are not working as they should. But only some have such specialists.

Performing in-depth analyses is now possible with SMT Analytics from the company, which runs stream analytics based on the latest data processing technologies. The innovative application provides various dashboards for descriptive analyses based on user profiles and process structures. Clearly defined use cases help monitor important KPIs, locate the root causes of problems, and present historical, real-time, and reference data in a structured and correlated manner. True to the company's open automation concept for integrated manufacturing, SMT Analytics will also be able to handle third-party systems soon.

"As a technology and market leader, ASMPT has focused on improving performance on the shop floor for many years," says James Leather, director IoT Solutions at ASMPT. "Unlike pure software developers, we are intimately familiar with the entire SMT production process. With SMT Analytics, you bring the knowledge that we have accumulated over many years into your company. We will continuously expand SMT Analytics with further functionalities and accompany our customers on their journey to the intelligent factory."

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By Seb Springall