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17280

Hours delivered with passion

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1254

Problems solved with innovation

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563

Project completed in timeline.

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+5

Different industries addressed

ABOUT THE SERVICE

What is Predictive Maintenance?

It is based on more advanced mathematical methods that include statistical analysis, data mining, predictive modeling, machine learning, among others. Its function is to forecast events that will occur in the future thanks to the development of a prediction model.

Machine learning and artificial intelligence provide regular and predictive maintenance, repair and general processes used by companies to preserve their assets.

The critical role of machine learning is to build predictive accuracy.

  • Prediction of failures and early alarms.
  • Demand estimation and Prescriptive Maintenance.
  • Prediction of results of processes according to the values of the variables (for example model of detection of anomalies in the quality of a product).
  • Identification and Mitigation of the Human Factor.
  • Intelligent Inventory and Supply Chain Management. • Computer Vision (Visual identification by computer of possible failures).
about

The benefits of predictive maintenance

Predictive maintenance is a methodology, that is, a corporate philosophy that takes into account the condition of the equipment. Predictive maintenance periodically monitors machines based on the analysis of data collected through monitoring or field inspections using the full power and benefits of Artificial Intelligence and Machine Learning.

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    Maintenance costs
    reduction
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    Machine failure
    reduction
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    Repair downtime
    reduction
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    Reduction in the stock
    of spare parts
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    Increase of the life
    of the pieces
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    Production increase
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    24% More parts time
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    50% improvement
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BENEFITS

Benefits of applying AI And ML in MRO

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Machine failure reduction

Regular monitoring of the actual conditions of the machines and process systems can reduce the number of unexpected and catastrophic failures of the machine by an average of 55%. Projections indicate that with ML you can reach reductions of 90%.

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Repair downtime reduction

Predictive maintenance reduces the real time needed to repair or recondition the factory equipment. The average repair time (MTTR) can be reduced by 60%.

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Maintenance costs reduction

The actual costs normally associated with the maintenance operation can be reduced by more than 50%.

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Reduction in the stock of spare parts

Costs that involve stock of spare parts can be reduced by more than 30%.

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Increase of the life of the pieces

The prevention of catastrophic failures, and the early detection of machine and system problems increases the operational life of the industrial plant machinery by an average of 30%.

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Production increase

The availability of process systems increases aber the implementation of a predictive maintenance program based on condition. The increase can reach 30%.

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24% More parts time

Unlike preventive maintenance the prediction helps to spend less on spare parts.

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50% improvement

Satisfied customers who see us a partner in the task of saving and having a well maintained fleet.

Industries

We Transform
Companies

Artificial Intelligence-driven companies are twice as likely to be market leaders. See how AI solutions help companies from various industries succeed.

manufacture
Manufacturing

Maximise yield efficiency with machine learning​.

Healthcare
Healthcare

Diagnose smarter and improve well-being & quality of life​.

Logistics & Transportation
Logistics & Transportation

Reduce maintenance costs, optimize routes and more.

Finance
Finance

Prevent fraud, manage risk and improve lending decisions​.

Marketing
Marketing

Understand and reach your audiences more effectively​.

Retail & E-Commerce
Retail & E-Commerce

Convert ‘big data’ into valuable customer insights​.

IoT
IoT

Get valuable insights from sensors, cameras, etc.

Your Industry
Your Industry

A different industry? Contact us to learn how we can help.

Case Studies

Some Of Our Case Studies

AWARDS

Awards & Accreditations

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