With the increasing complexity of electronic manufacturing and the continuous improvement of equipment precision and automation level, the requirements for efficiency, response speed, and maintenance quality of production lines continue to rise. How to locate problems in the first place, respond quickly, and ensure stable operation of equipment has become the key to enhancing the competitiveness of electronic manufacturing enterprises.

In order to assist engineers and technicians in efficiently obtaining information and reducing downtime on the production site, ASMPT has launched Virtual Assist, an electronic manufacturing intelligent assistant based on AI and natural language processing (NLP), specifically designed for SMT electronic factories. It can support frontline operators and maintenance technicians to complete daily work tasks, presenting all key information through a unified interface, helping users efficiently complete equipment diagnosis and maintenance on their first attempt.

One question, one answer: Install experts into mobile phones

In the traditional equipment maintenance process, technicians often rely on paper manuals, scattered knowledge documents, or feedback assistance from remote experts. Information retrieval takes a long time and experience transmission is not systematic, which not only prolongs equipment downtime, but also leads to extended training cycles and low response efficiency, seriously affecting overall production efficiency.

With Virtual Assist, technicians can immediately answer questions to the system by voice or text. No matter how to replace parts, troubleshoot error codes, or search for specific tutorial videos, it can quickly retrieve relevant information from the knowledge base, shorten the search time by up to 95%, and significantly reduce the loss caused by equipment downtime.  

A virtual assistant capable of self-learning

Virtual Assist can not only answer questions, but also accumulate experience and inherit knowledge.

Through AI and natural language processing (NLP) technology, Virtual Assist has the ability to continuously learn and accumulate knowledge from on-site operations, input content, and newly added data by technicians, and synchronize it throughout the organization. Therefore:

·Newly hired employees can quickly master key skills;  
·The implicit experience of senior employees is systematically preserved;  
·Engineers from different regions and shifts share unified information resources.

With the mechanism of continuous learning and sharing, Virtual Assist not only accelerates the knowledge acquisition process of employees, but also helps enterprises to deposit and systematize their key technical knowledge, reducing knowledge loss caused by personnel turnover by 50%.

Powerful integration: from personal assistant to factory hub

Virtual Assist is not only an intelligent assistant that understands placement, but also a scalable and integrated digital platform. It supports browser access and can run on all mainstream mobile devices, ensuring that employees receive help "anytime, anywhere".

At the same time, it has strong knowledge management and search capabilities, and can access various unstructured data sources including tutorials, service records, web pages, and videos, achieving more accurate troubleshooting and learning guidance.

For technicians, Virtual Assist is a 24/7 assistant that integrates "training mentor," "repair consultant," and "experience note taking; For managers, it is an important tool to promote stable operation of production lines, shorten employee training cycles, and strengthen data security.

Apollo utilizes Virtual Assist
Realize intelligent upgrade of operation and maintenance

Apollo is a manufacturer specializing in the production of fire detectors, with 8 employees jointly managing three SIPLACE SMT patch lines and over 40 manufacturing systems. In the past, the required professional knowledge often relied on the experience of senior employees to impart, or was scattered and recorded in difficult to retrieve PPT documents, which not only affected efficiency but also restricted the quick start of newcomers.  

To break this bottleneck, Apollo introduced ASMPT's AI intelligent assistant - Virtual Assist. Nowadays, employees can directly query device maintenance and operation information through voice commands, quickly obtaining clear guidance documents, videos, and service records. Not only that, Apollo also incorporates its own equipment into the Virtual Assist system, allowing the team to consolidate internal knowledge in a structured manner and establish a unified and sustainable information platform.

With the help of Virtual Assist, Apollo not only improves the productivity and stability of equipment maintenance, but also lays a solid foundation for building a more efficient and intelligent manufacturing system.