Limtronik Supports Engineers with AI-Based Assistance Systems in Manufacturing

The growing shortage of skilled workers, the loss of experiential knowledge, and the increasing internationalization of workforces are presenting industry with profound challenges. Electronics manufacturer Limtronik is responding with the targeted use of AI-based assistance systems that support industrial engineers in knowledge-intensive tasks while sustainably securing the transfer of know-how within the company.

In Limtronik’s high-mix electronics manufacturing environment, industrial engineers are required on a daily basis to quickly assess product changes, adapt processes, and initiate the right measures in the event of deviations. Many of these decisions are based on experience built up over years.

At the same time, Limtronik faces the challenge of preserving this knowledge in the long term. Experienced specialists are gradually retiring, while new employees—often from international backgrounds—must become productive more quickly. In parallel, complexity is increasing due to more individualized customer requirements and shorter product life cycles.

“We see every day how crucial fast access to reliable knowledge is for stable processes,” explains Gerd Ohl, Managing Director at Limtronik. “Our goal is not only to preserve this know-how, but also to make it available in such a way that it can be used directly in day-to-day operations.”

Making Production Knowledge Systematically Usable
At Limtronik, the use of AI is not based on an isolated innovation project, but on a digital infrastructure that has evolved over many years. From traceability systems and MES to interconnected production processes, data and information have been consistently developed and utilized based on operational needs.

Building on this, Limtronik is now taking the next step: experiential knowledge from production is systematically captured, structured, and linked with existing process and quality data. The aim is to ensure that decisions no longer depend solely on individual experience, but that this knowledge is made systematically available across the company.

In practical terms, this means that insights from disruptions, product ramp-ups, or process adjustments are prepared in such a way that they can be retrieved in comparable situations. AI-based assistance systems help provide this information in context—for example, when analyzing error patterns or evaluating changes.

“We have built a very strong data foundation over the years. The next logical step is to make intelligent use of it,” says Gerd Ohl. “AI helps us identify correlations more quickly and make better-informed decisions. As a mid-sized EMS provider, our ambition is to continuously improve our customers’ products.”

By systematically collecting and analyzing production and process data, Limtronik can provide customers with faster and more well-founded feedback. This helps shorten supply chains, make development processes more efficient, and sustainably improve the quality of end products.

Faster Integration of International Skilled Workers
For Limtronik, the use of AI-based assistance systems also plays a central role in integrating new employees. The company has traditionally placed strong emphasis on in-house training, while international skilled workers are becoming increasingly important in addressing the labor shortage.

In day-to-day production, however, different levels of experience, language proficiency, and approaches to documentation often come together. Especially in complex manufacturing processes, this can slow down onboarding.

This is where AI-based assistance systems offer tangible added value: they present technical content in a context-specific manner, simplify access to existing documentation, and help users understand and apply information more quickly. As a result, new employees—regardless of their background—can be integrated into processes and become productive much faster.

“Our goal is to provide knowledge in a way that everyone on the team can use it immediately,” explains Ohl. “This is a decisive factor for working efficiently in an international environment.”

Real Production as a Development Environment for AI
Limtronik’s own production environment plays a special role in this context: new technologies are tested directly in ongoing operations. As a co-founder of SEF Smart Electronic Factory e. V., the company provides its production facilities as a real-world research and development environment.

In this context, Limtronik is also working with partners on AI-supported assistance solutions for industrial engineers. One example is the “Digital Industrial Engineer,” which is currently being implemented together with German Edge Cloud, great2know, and Scheer PAS. It combines experiential knowledge, production data, and AI-based analytics.

“For us, it is crucial that new technologies work under real conditions,” says Ohl. “We don’t test in the lab—we test where production happens every day. That’s the only way to create real added value.”