Services

From Analysis to Action

We support manufacturing leaders in making better operational decisions by combining production data, simulation, and probabilistic decision logic.

Not more dashboards.

Not software replacement.

Clear decisions under uncertainty.


System Synchronisation

Are maintenance, inspections, availability, and production behavior working in alignment?

Production systems are often managed through separate schedules, targets, and control mechanisms that have evolved independently over time.

Maintenance follows one logic.

Inspections follow another.

Availability targets are defined elsewhere.

Production performance reacts to all of them.

The result is frequently structural misalignment—hidden inefficiencies that standard KPIs fail to explain.

We analyze whether maintenance cycles, inspection intervals, and operational behavior are synchronized with the actual dynamics of the production system.

The objective is not more intervention, but better alignment between system behavior and decision logic.

Typical outcomes

  • Identification of structural over- or under-maintenance
  • Better alignment between inspections and operational behavior
  • Improved understanding of availability losses
  • Reduced hidden inefficiencies caused by schedule mismatch
  • Stronger decision support for production planning

Production Stability Analysis

Why does performance deteriorate—and where does instability begin?

Many production systems appear efficient on average while remaining structurally unstable.

High utilization can hide serious variability.

Bottlenecks shift.

Buffers behave differently than expected.

Small disturbances create disproportionate operational consequences.

We identify the real drivers behind performance losses, recurring delays, hidden bottlenecks, and long-term instability using production flow analysis and simulation.

The goal is not only to explain what happened, but to understand why stability disappears.

Typical outcomes

  • Early detection of system deterioration
  • Root-cause identification of recurring instability
  • Better understanding of bottleneck behavior
  • Improved system stability under high utilization
  • More reliable capacity planning

Digital Twin Enhancement

Turning Digital Twins into decision systems

Many Digital Twins remain descriptive.

They visualize.

They report.

They mirror operations.

But they do not support decisions.

We add probabilistic decision support that allows Digital Twins to evaluate future scenarios under uncertainty rather than only describing past performance.

The result is a Digital Twin that supports operational decisions instead of functioning only as a reporting layer.

Typical outcomes

  • Forward-looking decision support
  • Scenario evaluation under uncertainty
  • Improved planning confidence
  • Higher practical value from existing Digital Twin investments
  • Better operational use of production data

OEE Reinterpretation & Production Intelligence

Moving beyond retrospective KPIs

Classical OEE reports what happened.

It measures past performance.

It does not explain future risk.

Production Intelligence reframes this approach.

Production metrics become probabilistic variables.

Production systems are treated as stochastic processes.

Operational decisions are evaluated under uncertainty.

We help transform existing production and inspection data into forward-looking decision support—using OEE not only as a KPI, but as a control variable.

Typical outcomes

  • Better use of existing production data
  • Stronger confidence in operational decisions
  • Reduced management debates around symptoms
  • Clearer prioritization of improvement actions
  • Transition from reporting to decision support

How We Work

Independent, data-driven consulting

  1. Understand the operational reality
  2. Analyze existing production and inspection data
  3. Identify causal relationships
  4. Validate system behavior using simulation and probabilistic models
  5. Support management decisions with quantified uncertainty

No software sales.

No forced system replacement.

Only independent decision support.


Typical Clients

Who this is for

  • Plant Managers
  • Operations Leaders
  • Production Engineers
  • Maintenance Leaders
  • Manufacturing Excellence Teams
  • Digital Twin and Industry 4.0 Programs

Let’s Discuss Your Production Reality

If your team is facing recurring instability, maintenance uncertainty, unclear performance losses, or Digital Twin initiatives that do not yet support decisions—we can help identify where action creates real value.