Train an operator in 3 days instead of 3 weeks

Replacing a qualified operator costs about 25,000 euros. Recruitment accounts for only a third of this amount, according to a turnover cost calculator used by industrial HR departments (exagon.org), which also places the average turnover in the French industry around 8%, compared to 10 to 15% across all sectors. The rest of the cost comes from the skill development: according to a SHRM 2025 study relayed by marqueemployeur.com, it extends over 8 to 12 months, during which the productivity of the replacement remains on average 23% lower than that of a confirmed operator. Reducing factory training time directly changes the extent of this loss.

This figure of 23% covers several concrete realities: a slower production pace at the concerned position, more frequent non-conformities, and often an experienced colleague mobilized for informal support, thus being less productive on their own task. The loss is not limited to the newcomer.

In the French industry, the average turnover is around 8%, compared to 15% across all sectors, a figure lower than the national average. Each departure weighs more: a qualified position in a factory cannot be replaced like an administrative position, and the gap between a trainee operator and a confirmed operator is visible on the line indicators.

The issue goes beyond human resources. It affects line performance, and the most accessible lever is rarely activated: shortening the skill development timeline rather than hoping to reduce turnover to zero.

Why traditional training takes so long

The apprenticeship remains the dominant method in most French factories. A senior operator trains a newcomer on the job, step by step, on an active line. The method works, but it takes time for three structural reasons: the availability of the trainer, the risk on the actual equipment, the scarcity of opportunities to repeat.

The availability of the trainer, first. A senior operator who trains does not produce at the same rate. Every hour of training is an hour of reduced production on both sides of the pair. In a site where seniors are themselves in limited numbers, this availability becomes the rarest resource throughout the training process.

The risk on the equipment, next. A poorly executed action on real machinery can break a part, misalign a tool, or cause a line stoppage. This constraint limits the number of repetitions allowed before the actual situation: no one accepts letting a beginner practice ten times in a row on a press or a packaging line at full speed.

The repetition, finally. A rare action (format change, safety procedure, emergency intervention) does not occur often enough on an active line to allow for solid learning before being required in a real situation. The operator sometimes discovers the complete procedure on the day they must execute it alone, without having been able to repeat it in a consequence-free setting.

These three obstacles are due to the nature of the training environment: a real production line, with its constraints of time, cost, and safety.

What immersive simulation changes in this specific timeframe

The immersive simulation addresses these three barriers. A trainee operator repeats an action twenty times without immobilizing a machine or risking a part. The actual equipment remains available for production throughout the training session, and the senior trainer no longer needs to be present at each repetition: they intervene at the framing of the module, then at the final validation.

Repetition changes the nature of learning. According to the Swiss HEFP and the Canopé Network, active repetition in an immersive environment strengthens procedural memory better than passive observation of a video or a paper operating procedure. Procedural memory, which governs a technical action, is built through execution, not reading. The operator acts, makes mistakes, starts over, instead of watching someone else act in their place.

This mechanism, not the technology itself, explains the time savings measured in the field. A headset does not make anyone competent. It allows for the repetition of a critical action as many times as learning requires, without the limits imposed by the actual workshop.

Preparation can begin before the equipment even arrives. In land defense, an artillery crew is ready before receiving its gun, because it has rehearsed the firing sequence at the real rate, on a physical replica, without firing a single round.

What the simulation does not replace

The simulation does not exempt from real-life situations. It shortens the phase of acquiring the action, not the field validation.

A trainee operator trained in an immersive environment arrives at their first real intervention with the action already memorized. They remain supervised during this first situation, like any trainee operator: the simulation prepares the ground, it does not replace it.

The time savings are found in the acquisition phase, which previously took two to three weeks of spaced and incomplete repetitions. The validation phase retains its usual duration and requirements.

Measured results and method

Several studies converge on the extent of the gain, with discrepancies that mainly reflect the nature of the action studied rather than a divergence in method. According to a Forrester study relayed by PTC, companies that use augmented or virtual reality solutions reduce their training time by an average of 50%.

In aerospace, a sector where procedures are lengthy, regulated, and have little tolerance for error, realite-virtuelle.com anticipates a 40% reduction thanks to immersive technologies. Two manufacturers illustrate what this figure concretely covers. According to Journal du Net, Boeing has reduced its production times by 25% and brought the error rate on the wiring of its planes to zero by equipping its technicians with augmented reality. Porsche has reduced the intervention time of its maintenance technicians equipped with augmented reality glasses by 40%. In both cases, the gain pertains to a precise technical action, repeated beforehand rather than discovered in situ.

On the training use cases deployed by Myxed, the reduction in the time to reach competency is 60%. A more marked difference than the industry averages, consistent with an approach built action by action rather than with a generic training module.

This result comes from a method applied case by case, not from a standard module:

• Frame : identify the critical actions, those that are most costly to execute incorrectly or to re-explain.
• Prototyper : build a first testable 3D scene with the relevant operators, before any heavy development.
• Build : develop the final module, aligned with the actual business reference of the site.
• Deploy : integrate the module into the existing training path, with field feedback that adjusts the content.

This method is part of the Myxed approach to mixed reality training, where customization determines the quality of the result.

A typical case

Let's take a typical case. An industrial site needs to train a new operator on a format change procedure on a packaging line: a technical gesture performed once a week on average, which involves about ten steps in a precise order, with a risk of breakage in case of error.

In traditional training, learning takes two to three weeks. The operator observes for the first time, waits for the next opportunity, tries again under supervision, often with several days between each repetition. Between two opportunities, part of the gesture is forgotten, and the trainer has to revisit points already covered.

In immersive training, the operator repeats the gesture in simulation as many times as necessary, over two to three days, without waiting for a format change to actually occur on the line. Each error in simulation costs nothing: no broken parts, no production stoppage, no trainer constantly mobilized. The first real execution occurs with the gesture already memorized, under light supervision rather than full tutoring. The time to gain competence decreases from three weeks to three days.