The real gap is not about age

When talking about generational differences, there is a risk of reducing the problem to people’s age.

In reality, the real gap arises when knowledge fails to pass from one generation to the next.

Every industrial plant has its own history.

Interventions carried out over time, modifications, adaptations, recurring failures, replaced components, anomalies solved with solutions not always recorded in the official documentation.

Part of this information can be recorded through procedures, reports and management systems.

Another part, however, often remains in people’s memory.

It is the knowledge that comes from experience.

There is knowledge that isn’t written in manuals

An experienced technician can recognise a problem from an unusual noise.

They may know that a certain machine, under certain conditions, tends to behave in a certain way.

They may remember that the drive had already been replaced, that a component had shown a similar anomaly, or that a particular alarm did not depend on the device indicated by the system, but on a problem further upstream.

This knowledge is built over time through:

• interventions;
• failures;
• mistakes;
• attempts;
• repairs;
• modifications;
• daily observation of the plant.

It is an enormous technical asset.

But it is also extremely fragile if it is left solely to the memory of a few people.

Skills transfer cannot start on the last day of work

One of the most common mistakes is to think about passing on skills only when an experienced technician is about to leave the company.

At that point, however, it is often too late.

Decades of experience cannot be transferred in a few weeks through a few procedures or last-minute shadowing.

Skills transfer should instead be a continuous process.

It means creating opportunities for people with different experience to work together, documenting interventions, gathering technical information and turning what is learned in the field into knowledge accessible to the organisation.

Because a skill that remains solely in one person’s head is always a risk.

Digitalisation does not mean replacing experience

Digital transformation is profoundly changing the world of industrial maintenance too.

Sensors, monitoring systems, digital diagnostics and data analysis now make it possible to gather information that only a few years ago was much harder to obtain.

A change in temperature can be recorded.

An abnormal vibration can be detected.

A change in operating parameters can be identified before it has visible consequences.

But data alone is not yet knowledge.

A system can signal that something is changing.

But someone is still needed who can understand why it is changing and what it really means within that plant.

The sensor sees: the technician interprets!

A sensor can measure.

Software can compare.

An algorithm can highlight an anomaly.

But experience makes it possible to place that data in the real context of production.

It is precisely from the meeting of these two abilities that more effective maintenance can emerge.

The experienced technician brings knowledge built up over the years.

The professional more used to digital tools brings new possibilities for monitoring, analysing and sharing information.

Value does not arise when one replaces the other.

It arises when the two languages start talking to each other.

From individual knowledge to shared knowledge

For a company, the real challenge is turning personal experience into an organisational asset.

This means creating systems to collect and make available:

• failure history;
• interventions carried out;
• recurring anomalies;
• relevant parameters;
• photographs and technical documentation;
• modifications made to plants;
• solutions adopted;
• information on critical components;
• availability of spare parts and alternatives.

In this way, experience does not disappear, but is gradually turned into a knowledge base that future generations can also use.

Obsolescence can affect knowledge too

When people talk about industrial obsolescence, they immediately think of components.

PLCs, drives, inverters, HMIs, power supplies and electronic boards that are no longer produced or become hard to source.

But there is also another form of obsolescence.

The obsolescence of knowledge.

A component may still be on the plant, but fewer and fewer people may be able to diagnose, configure or repair it, or understand how it works.

In these cases, the risk is not only about the availability of the spare part.

It is also about the availability of the skills needed to keep it running.

Preserving knowledge means protecting production continuity

Documenting an intervention, saving a program, recording a configuration or sharing a procedure may seem like a secondary task when the plant is running.

But it becomes essential when a problem occurs.

The more knowledge is available, the less handling an emergency depends on the presence of the one person who “knows how that machine works”.

That is why skills transfer should not be seen only as an HR or training issue.

It is also a matter of maintenance, reliability and production continuity.

The value of experience grows when it is shared

Preserving skills does not mean freezing the past.

Quite the opposite.

It means allowing new generations to start from what has already been learned, without necessarily repeating the same mistakes.

Experience thus becomes the starting point for innovation.

And technology becomes a tool to enhance it, organise it and make it available.

The technician who “listens to the machine” can help those who analyse data understand what it means.

Those who use digital tools can help the experienced technician turn intuitions and knowledge into information that can be recorded, measured and shared.

The industry of the future will be intergenerational

The future of manufacturing will not depend on young people’s ability to replace those with more experience.

It will depend on companies’ ability to get generations working together.

Experience gained in the field and digital skills are not alternatives.

They are complementary.

When combined, they can improve diagnostic capability, speed up problem solving, increase plant reliability and help build a more advanced maintenance culture.

Those who listen to the machine and those who read the data are talking about the same thing

Perhaps the real challenge is not deciding which approach is better.

It is creating the conditions for them to coexist.

Because a machine can be listened to.

It can be measured.

It can be monitored.

It can be analysed.

But above all it must be understood.

And this ability comes from the meeting of experience, technology and shared knowledge.

🌱 Experience, like an industrial component, must also be maintained, transferred and valued.

Because those who listen to the machine and those who read the data do not represent two different industries.

Together, they represent the future of maintenance.

Keep Industry Running.