How Infineon used an experiential, workshop-based Teaching Factory approach within the EU Horizon Bridges 5.0 project to help shop-floor experts transition into a Remote Operation Control Centre (ROCC) and make faster, more confident decisions in a highly automated environment.

Introduction

Infineon’s Industry 5.0 journey starts from a simple premise: people remain the main asset of manufacturing, especially as factories become more connected, data-rich, and automated. In this context, “human centricity” is not a slogan—it is a design principle for how technology, processes, and roles should evolve so that employees can perform their jobs with clarity, confidence, and impact. The challenge addressed by the Teaching Factory intervention emerged from operating in two realities at once:

A highly automated production environment running in parallel with manual ways of working. At the same time, part of the tasks previously performed at shopfloor level was transitioning to be executed remotely through a Remote Operation Control Centre (ROCC). This change of working set-up required more than new screens and dashboards—it required new ways of deciding, communicating, and coordinating under time pressure.

What the Teaching Factory intervention aimed to achieve

At Infineon, the Teaching Factory intervention was designed to support a concrete organizational and operational shift: enabling employees who previously worked primarily on the shop floor to take on roles that require remote coordination and decision-making in the ROCC. The goal was to bring human decision processes “to the front” by combining existing production systems with more intelligent data aggregation—so that people can act based on facts, context, and shared situational awareness.

Modern industrial building with a large GaN300 logo on the white wall and the words 'World's first' and 'We did it!' visible; a grey high-tech facility against a blue sky.
Worker in cleanroom suit operating a large automated manufacturing robot with a tablet nearby.

Because the ROCC model changes how information flows and how teams interact, Infineon’s approach focused on capability-building—not only technical (hard) skills, but also soft skills such as communication, conflict management, and decision-making in critical situations. The intervention was structured as experiential learning within the Bridges 5.0 project, and it emphasized involving employees early in the design phase to better align outcomes with end-user needs and to smooth acceptance of the new set-up.

Who the intervention was for: the target group

The primary target group was Infineon’s logistic problem-solving experts—people involved every day in coordinating, prioritizing, and resolving issues, including decision-making responsibilities. Their core competence is grounded in hands-on experience: they understand equipment-level problem solving and the realities of production disruptions. In the ROCC context, that expertise remains crucial, but the role expands: decisions need to be taken around the clock (24/7), with information coming from multiple sources and different stakeholders impacted.

Scientist in a lab coat operating a large industrial machine in a modern laboratory setting.

How the Teaching Factory worked at Infineon (step-by-step)

1

Brainstorming to define the right use case
The intervention began with a focused brainstorming exercise to identify and agree on the most relevant use case. This first step ensured that the workshops addressed a real operational need—something the participants recognized from daily work—and that learning activities would stay anchored to practical, high-impact situations rather than abstract training content.

2

Make performance visible—understand KPIs, impacts, and information sources
The second step focused on building a shared, detailed understanding of internal KPIs and the cause-and-effect chains behind them, including the systems landscape. This step brought a new level of visibility and transparency to participants regarding their tasks in the event of a tool downtime: which KPIs are affected, how they are affected, and which surrounding data points and process dependencies must be considered. Just as importantly, the group clarified where this information can be found and how it is currently accessed, then mapped the operational reality of “who does what, in which state, using which materials”—whether software tools, paper-based handovers, or informal communication channels.

3

Identify inefficiency and redesign for better decisions
With KPI logic and process realities made explicit, the third step asked a deliberately critical set of questions: Where is effort “worthless”? Where do teams lose time—or lose information—during coordination and escalation? What could be a better solution? This analysis made improvement opportunities transparent, particularly around (1) data aggregation and interpretation and (2) communication patterns and recurring inefficient steps. A key benefit was self-learning: participants recognized which parts of their own daily routines were not efficient and why. The tangible output was a clear catalogue of requirements describing what should be improved to enable faster, fact-based, and less frictional decision-making.

Learning design: why experiential formats mattered

The “Teaching Factory” label reflects how the learning was organised: not as a lecture, but as a practical sequence of workshops, group activities, and structured discussions built around realistic situations. Interactive formats—such as simulations, role-playing exercises, and scenario-based practice—created a safe environment for participants to rehearse how they would interpret information, exchange updates, handle tensions, and make decisions when the environment is chaotic or critical.

A central insight was that, in many ROCC situations, soft skills can be as important as (or more important than) deep technical expertise on a single tool: communication and interaction shape how quickly a team converges on the right action. Therefore, the intervention explicitly strengthened communication skills and conflict management, aiming to help employees stay calm and decide based on facts and arguments—especially when decisions need to be made quickly and their impact ripples across the factory.

Outcomes: what changed after the intervention

Infineon monitored the training effects before and after the intervention and observed clear shifts. Participants reported higher awareness and more clarity on roles, along with stronger engagement with the complexity of the environment. In the weeks following, teams were seen to operate differently—most notably with greater confidence when coordinating and deciding from the ROCC.

The training also facilitated acceptance of the remote-control room set-up—both the technologies introduced and the new communication interfaces that come with remote coordination. Importantly, the ROCC role represented an “upscaling” in organisational responsibility: decisions that were previously taken mainly by leaders or management could, in many logistic situations, be made by the employee directly, with escalation reserved for exceptions. This shift supports faster response times and can reduce micro-management, while giving leadership teams more assurance that decisions are made consistently and with the right context.

Key takeaways for Industry 5.0 implementation

  • Start from the human role change, not the technology change. Moving part of the work from the shopfloor to a ROCC affects decision rights, information flow, and coordination.

  • Involve employees early. Co-design improves alignment with end-user needs and makes adoption smoother.

  • Make performance logic explicit. A deep, shared understanding of KPIs and their dependencies enables consistent decisions under pressure.

  • Map the real work. Clarifying who does what, when, and with which tools reveal friction points that dashboards alone do not fix.

  • Use experiential learning for both hard and soft skills. Simulations and role-playing exercises help people practise fact-based decisions, communication, and conflict management in realistic scenarios.

  • Leave with a concrete output. A transparent requirements catalogue turns workshop insights into actionable improvement items for data aggregation, interpretation, and communication.