Knowledge Transfer 4.0

Imagine it is Monday morning, 7:00 AM. Production planning is in full swing. An urgent order comes in, a machine reports a malfunction, and two employees have called in sick. In the midst of this chaos sits Mrs. Miller. She has been with the company for 35 years. She glances briefly at the monitor, mutters something about "changeover times on Line 4," and shifts three orders across the digital planning board. Ten minutes later, everything is running like clockwork again.

If you ask Mrs. Miller how she did it, she usually just shrugs: "It’s just a feeling. I simply know that the red batch can’t run after the blue one, otherwise we’ll be cleaning for three hours."

The problem: This "feeling" is about to retire.

In the next five to ten years, German industry will lose an immense treasure of experiential knowledge as the "baby boomers" retire. When experts like Mrs. Miller walk through the factory gates for the last time, they often take the invisible rules of production with them. For companies, this represents an existential risk.

The Danger of "Implicit Knowledge"

In knowledge management theory, a distinction is made between explicit and implicit knowledge.

• Explicit knowledge is documented: work instructions, maintenance plans, bills of materials.
• Implicit knowledge is what Mrs. Miller possesses: intuition, empirical values, and knowledge of informal processes or the technical quirks of aging machinery.

As long as this knowledge exists only in people's heads, your company is vulnerable. A junior planner fresh out of university or vocational training cannot replicate decades of mental conditioning in just a few weeks—unless we provide them with a tool that has this knowledge already "built-in."

Digitization is Preservation, Not Replacement

Digitization is often perceived as a threat by experienced employees. "Is the software trying to replace me?" The answer from tetys is a resounding: No.

The goal is not a "planner-less operation," but rather the democratization of expert knowledge. By integrating the experience of professionals like Mrs. Miller into the logic of an APS (Advanced Planning and Scheduling) system like FEKOR or an MES (Manufacturing Execution System), we create a digital insurance policy for the company.

A classic example is setup optimization. An experienced planner knows exactly which sequence orders must follow to minimize cleaning times. In the tetys world, we pour this knowledge into a digital setup matrix. We define dependencies: color, material, alloy, temperature. The software then calculates the optimum in seconds—a task Mrs. Miller previously juggled laboriously in her head.

Experienced employees also know which machines "act up" under certain loads. This knowledge can be stored in the form of planning rules. When the software detects that a specific load limit is being reached, it can automatically issue warnings or suggest alternative routes—based on rules previously defined with the experts.

The "Junior Effect": Accelerating Onboarding

A massive advantage of knowledge digitization is the relief it provides to HR departments. The shortage of skilled labor means we often have to hire career changers or less experienced staff.

Without a supporting system like the tetys suite, the onboarding period is immense. A newcomer has to make every mistake once to learn from it. With intelligent software support, the junior planner is given "guardrails." The software doesn't just tell them what to do; through validations, it prevents them from making gross errors (e.g., scheduling an order on an unsuitable machine).

This leads to "Assisted Planning." The human remains the decision-maker, but the software takes on the role of a mentor, monitoring the physical and logical boundaries of production in the background.

The Psychological Factor: Appreciation Instead of Displacement

How do you bring the "Mrs. Millers" of this world along on this journey? It is crucial to frame knowledge transfer as a form of appreciation. By asking Mrs. Miller to transfer her knowledge into the system, we are declaring her the architect of future production.

She is no longer the one "extinguishing fires," but the one writing the "fire protection concept" for the next generation. This also relieves her of stressful routine decisions in her final years of work, giving her the space to focus on truly complex special cases.

How to Begin the Transfer?

The path to your production's digital memory is not an IT project, but a communication project.

1. Identify Bottlenecks: Where does the success of a shift depend most heavily on a single individual?
2. Extract Rules: Put the expert and the software consultant at one table. Ask questions like: "Why did you just move this order there?"
3. Map in Software: Utilize the flexibility of FEKOR to map exactly these individual logics.
4. Feedback Loops: Let the expert evaluate and refine the software's suggestions ("Tuning").

Demographic change cannot be stopped, but its negative consequences for production are avoidable. Companies that invest now in transforming the implicit knowledge of their workforce into digital logic secure a significant competitive advantage. They become more agile, less dependent on individuals, and more attractive to new talent expecting modern tools.

To all interested—and perhaps even "triggered"—readers, I say with realistic optimism: Time is pressing, BUT: the technology is ready!

At tetys, we don't just see ourselves as a software provider. We are the bridge builders between the experience of the "old hands" and the dynamics of the digital future. Let’s work together to ensure that the "gut feeling" of your best people doesn’t retire with them, but becomes the heartbeat of your digital factory.