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.

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t. +32(0)4 249 72 11

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t. +32(0)2 286 57 11

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Partnerships & certifications

  • SAP Partner
  • Microsoft Gold Partner Certificaton in Applcation Development
  • ISO:9001
  • ISO:27001