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Centerlining and Knowledge Management in Modern Production: Standards Only Work with Accessible Knowledge.

01. August 2025

In this article

Centerlining Pays Off – Especially with the Right Knowledge Documentation.

Centerlining is a proven approach to standardizing machine settings. For each product, optimal values are defined, for example for pressure, speed, or temperature. The goal is to stabilize production, reduce scrap, and minimize operator interventions.

In practice, however, implementation is far from trivial. Processes vary depending on the product, machine, and shift, and not every setting works equally well under all conditions. Still, those who succeed in consistently implementing centerlining and securing these standards through effective knowledge documentation benefit from reproducible quality, less machine downtime, and faster changeovers.

Visualizing Centerlining with MADDOX: On the left, a tablet shows a context-sensitive digital knowledge card; in the center, the HMI interface displays current and standard values; on the right, a stack of paper folders and Excel files – symbolizing outdated documentation methods. Text: 'Centerlining: It’s not whether, but how!

Demotivating: When Defined Standards Are Not Followed.

In many companies, the biggest challenge is not finding the right settings, but ensuring their sustainable implementation in daily operations.

Values are painstakingly determined – only to disappear into paper folders, Excel files, or individual memories. New employees don’t know them, while experienced staff rely on their own routines. Changes are often undocumented. The result: deviations from the optimum creep in. Missing or inadequate knowledge documentation makes it difficult to adhere to standards in everyday work. This not only affects process stability but also frustrates the team – because what’s the point of defining centerlining values if they aren’t easily found or clearly documented?

How MADDOX Supports Centerlining with Digital Knowledge Documentation.

This is where MADDOX comes into play. Our software makes knowledge available exactly where it is needed – directly at the production line. With digital knowledge cards, centerlining-relevant information can be conveyed not only through text but also with:
  • Images, e.g., for positioning components,
  • Videos, e.g., for correct machine operation, and
  • Diagrams that visually show target values and tolerances.
What makes this special: the content appears contextually – exactly when it’s needed. This ensures that defined centerline values are not just documented, but actively used. At the same time, MADDOX’s algorithms learn from usage: when an error occurs and an operator successfully resolves it using a knowledge card, this connection is captured, intelligently expanding the system. This way, not only does the knowledge base grow, but so does the confidence with which operators act in critical situations – without deviating from the standard.

Conclusion: Documented Knowledge Is Only Effective When It Is Accessible and Actionable

Centerlining is not a static document, but a living standard. Only through digital documentation, contextual display, and continuous learning does it become a fully functioning system. MADDOX creates exactly this connection – turning defined knowledge into actionable efficiency.

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