Industrialising collective memory: when the field reclaims its rightful place

How can you industrialise collective memory in maintenance? By structuring field feedback directly on the shop floor, so that every intervention becomes a resource everyone can use.

Platforms such as Mimorian, which models industrial equipment and supports technicians in their diagnostic reasoning through a multi-agent AI architecture, show that it is possible to turn every intervention into a usable resource, without any additional documentation effort.

For several decades, MES (Manufacturing Execution Systems) and other SaaS software have established themselves as the pillars of industrial control. They track operations, collect data in real time, display indicators such as OEE (Overall Equipment Effectiveness), and alert managers when a deviation occurs. Inefficient knowledge sharing costs large companies an average of 47 million dollars per year [Source: Panopto, 2018].

These are valuable tools, certainly, but ones that sometimes remain far removed from the realities of the field. What is missing is a tool that equips technicians as close as possible to the machines, that captures every diagnosis without re-entry, and that structures know-how in real time for immediate and lasting use.

Why is this shift becoming essential?

1. The silent loss of knowledge
2. A worrying technological inertia
3. Recognising the central role of technicians

Which convictions drive the transformation of maintenance?

1. Knowledge capture is an absolute necessity. Every piece of field feedback, every documented solution becomes a resource immediately accessible to all.
2. Success means aligning the tools with those who act. Technicians and operators must benefit from a digital environment designed for their constraints and their realities.
3. Innovating means putting meaning back at the centre. Rather than piling up reports, transforming maintenance means smoothing the transfer of knowledge, anchoring collective memory, and giving everyone the means to progress.

What if efficiency came down to one thing?

To what your teams know, share and pass on, far more than to what your tools display.

This is precisely the conviction that guides Mimorian: modelling equipment to understand how it works, supporting diagnostic reasoning to look beyond the visible symptom, and capturing field knowledge in a virtuous circle where every failure resolved makes the plant more intelligent.

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For a full overview of the subject, read our complete guide: How to capture know-how in industrial maintenance? Complete guide.

📚 Sources :

• Siemens / ISM, 2024 - The Monthly Metric: Unscheduled Downtime
• Panopto, 2018 - Workplace Knowledge and Productivity Report