Steps through manufacturing and ICT paradigm.

“Behind every successful company there is always someone took a brave decision”

A new and innovative technological world

We are living the fourth industrial revolution where Internet and data-driven technologies are in-depth connected with manufacturing pillars.

Internet of Things (IoT) and its declination within IIoT (Industrial Internet of Things) supported by technological innovation are disruptive enhancing the way manufacturing processes are designed.

Thus releasing benefits to the business value chain.

Material assets are the core means that allows companies to develop their activities, but it is not so rare they are not properly managed.

Within material asset management there is room for improvement and strategic interventions can be approached even in the time when available budgets are cut.

In the past, low and poor maintenance activities on material assets have produced results such as:

  • Longer and more often running failures
  • Increase in unplanned activities
  • Huge production losses
  • Maintenance cost increase

Health state assessment of machinery took place only through indirect measurement also related to subjective evaluation relying on collars knowledge and experience. Consequently, there was no right approach in analyzing root causes and correlating with failures.

Some machine learning methods

Today, the accuracy of the information that can be retrieved from machinery has significantly increased within the technological curve. Traditional methods, sensors adoption and cognitive computing offer so:

  • Higher accuracy on maintenance process
  • Machinery idle time reduction and productivity of asset increase
  • Number of failure decrease
  • Material asset reliability rate increase
  • Investment optimization
  • OPEX reduction

In light of Machine Learning, real-time analysis and corporate asset management platform, Reforce is able to manage the asset portfolio of companies.

Data collected from machineries are:

  • Monitored
  • Stored
  • Normalized and aggregated
  • In-depth analyzed
  • Retrieved and presented on customized dashboard

But, this is not enough. Data management, aggregation and performances measurement is poor without Machine Learning. That’s the future roadmap for Predictive Maintenance.

Reforce is the system integrator that allows your company to enable new paradigm to spread across and promoted by using the best in class available algorithm to obtain the highest value from Big Data.

Write us to speak about your ‘industrial revolution’.

Reforce

HQ & Factory
Via Pietro Giannone 8a/10
10121 – Turin – Italy
Telephone +39 011 18869438

info@reforcegroup.com

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