The challenges
of technologists

Factories are often dependent on the knowledge of a small group of experienced process technologists. They receive questions for every deviation or disruption. A standard for process control is lacking, which means process technologists are primarily occupied with fighting fires and no longer have time for what they are truly needed for: process optimization and structural improvements.

Technologists immediately see the most important process parameters

without drowning in irrelevant data.

Technologists recognize deviations faster

and immediately identify the cause.

Technologists resolve process questions faster

following fixed, proven steps.

Senior technologist or R&D is only called in when it is truly necessary

so that everyone spends their time optimally.

Our model ensures that:

System knowledge from your best experts is digitally available to everyone on the shop floor. It shows which parameters are crucial, how hardware and sensors influence process behavior, and which actions you should take in the event of a deviation. This allows everyone in your team to resolve process deviations like your best technologist.

The functionalities that
make the difference

The knowledge model for system knowledge supports employees with four crucial functionalities

“The most valuable aspect is the learning function. You learn new ways of acting and it clarifies cause-and-effect relationships. For example, our drying tower process is fully documented in it. It can be seen at a single glance.”

Jeroen Hamminga, Processing Team Leader FrieslandCampina Beilen

Making diagnoses

You gain insight into cause and effect. Which hardware parameter influences which process quality? And in which sensor, setting, or component is the source of the problem likely located? And what are the most important steps to take now?

Detecting long-term problems

An operator solves a problem when it occurs. A technologist investigates why it keeps recurring. The Technology model supports that deeper analysis: it maps out automatic control loops, makes connections visible, and helps ask the right questions.

Quick insight

New employees do not have to discover how the process works through trial and error. The model provides a view of important parameters at a glance, how hardware and sensors work, and which steps are sensible in the event of a deviation.

Optional: data integration

A data link connects the knowledge system directly to your sensor data. The model shows at a glance whether your process is running well. You immediately see whether values fall within or outside the optimal bandwidth, even before the final product falls out of specification. This allows you to shift from reactive to proactive working.

What are the benefits?

Five concrete results for your organization, measurable from the first few weeks.

Less downtime, better quality

Through standard process control, your process runs more stably, which ensures fewer product deviations and shorter downtime.

Knowledge is retained

Crucial process knowledge remains available, even when experienced technologists leave. Your company continues to grow without being dependent on a handful of people.

New technologists get up to speed faster

New technologists can act independently sooner, without constantly falling back on experienced colleagues.

Less pressure on experts

Experts are only asked for truly complex situations, leaving them time for process optimization and improvement projects.

Standardized working method

You have one standard for how the process should be controlled and a standard course of action for deviations. Always, for every team.

This is how we capture the knowledge
of your expert

We make the experiential knowledge of your best people digitally accessible so that every employee can make the right decision at any time. However, every process, every machine, and every function requires a different kind of knowledge.

That is why we offer different knowledge models, tailored to the role of the user and the process for which the knowledge is being captured. Our approach is standardized, scalable, and predictable.

Discover our approach here

1

Scoping

For which process and which role do you want to capture knowledge?

2

Interviews

5 interviews with the experts.

3

Processing

Processing the interviews into our digital knowledge system

4

Delivery and immediate usability

For everyone on the shop floor. Average lead time: 3 months

How much time does this take for my experts?

Five two-hour interviews. We conduct the first two interviews with your most experienced expert, after which colleagues from other departments join in.

Who prepares the knowledge model?

We do. A knowledge analyst from ELICIT gathers the knowledge during the interviews and builds the model. Your experts do not need to prepare or write anything down.

What determines whether a process is simple or complex?

The more variables a process has and the more they influence each other, the more complex the knowledge model becomes.