Predictive Maintenance and Quality

Anticipate maintenance on machinery

Organisations are harnessing big data to develop insights to fine-tune systems, inform decision making, and develop products that were previously impossible to make. However, many organisations still struggle to adopt big data and fully capture its potential.

Challenges:

As R&D, Operations & Maintenance or Inspection responsible, you need to:

  • Prevent failures by using predictive root-cause analysis on machine data.
  • Predict product quality by detecting anomalies faster and on all items.

Predictive Analytics enable Production & Maintenance Management to improve quality and service levels, while cutting production and maintenance costs.

1. Predictive Maintenance

- Anomaly detection

- Anomaly prediction

- Health score assets

- Scenario planning

2. Quality Analytics

- Correlation paterns between data variations and quality issues

- Suspect items identification

- Full automatic analysis on process data

Working together, we will use multiple and massive data sources, integrating Information Technology, Operations Technology and Business Contextual data. We will apply multivariate non-linear anomaly detection models for more refined and accurate predictions. We will ensure a smooth set-up with automatic and dynamic learning of normal behaviour, so allowing constant evolution of the solution.

Predictive maintenance and quality

We help you building a data driven organisation by leveraging Big Data and Analytics Platforms managed by data scientists. The iterative deployment model allows fast set up, quick wins and long lasting effects.

In us they trust...

Contact us

Liège

t. +32(0)4 249 72 11

Brussels

t. +32(0)2 286 57 11

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