METHODOLOGY

A MES isn’t bought — it’s designed.

It’s important to look at the process from the point of view of the value it creates — not from the point of view of the software.

Step 1

Analyze processes & needs

Map information & operational flows

Understand how data and materials actually move across departments before configuring anything.

Identify bottlenecks

Spot the real constraints in the process, not just the ones on paper.

Define KPIs & performance goals

Agree on what “better” means before choosing what to measure.

Best practice

Adapt the MES to your process

  • Involve all key departments
  • Adapt the MES to the process, not the other way around
  • Avoid plug & play solutions without analysis
  • The MES is not an IT project — it’s a business project

“A missing process vision can undermine an otherwise excellent technological vision.”

Change management

A chance, not a threat

  • Digitalization means organizational change
  • Manage resistance with communication and training
  • Create key users and an internal digital culture

“Many MES projects don’t fail for technical reasons, but because of organizational resistance.”

Training & involvement

Part of the project, not subject to it

The success of a MES implementation doesn’t depend only on the vendor or the IT department, but on its ability to truly take root in the organization.

Technical training

“How the software is used.”

Method training

“Why we use it, what it lets us improve.”

Step-by-step approach

Learn to walk before you run

1

Start with a pilot

One line, one department, one process — a controlled space to experiment, measure and calibrate.

2

Reduce risk, build trust

Fewer production blockages, manageable involvement without anxiety, consistent and shared results.

3

Continuous improvement

Small, constant steps with a clear direction — learn to walk before you try to run.

The MES as a data engine

“More data” doesn’t mean “more control”

Reliable data means reliable decisions. Every production event, every stop, every scrap is recorded — but data quality is what determines the MES’s success. Better a few meaningful KPIs than a thousand unused indicators.

Three drivers of success

Uniting technology and organization to make the “vision” concrete is the path to production success.

01

Process vision first

Before the technology — understand the process, then design the system around it.

02

Iterative, gradual approach

A path that allows learning and consolidation at every step.

03

Constant involvement

At every level of management and production, from day one.

Tailored demo

See it in action.

30 minutes to understand what will change for you. Select the modules relevant to your business and we’ll show them applied to a real-world scenario.