What we do

Asset-intensive companies demand predictable production at the lowest sustainable cost, starting with a clear picture of an enterprise’s overall asset health.   Using intelligent asset strategies, Meridium’s Asset Performance Management (APM) software and solutions can help your organization reduce operating risk and improve reliability by predicting and preventing asset failures. 

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Clients
RFI Applies Asset Performance Management to Improve Availability/Minimize Costs

Meridium Enterprise APM optimizes maintenance and resources for two million functional locations to achieve robust/sustainable operation

Challenge & Opportunity

Rete Ferroviaria Italiana S.p.A. is the Italian national railway infrastructure manager of two companies: RFI and Train Italia. Train Italia is the rolling stock company, and RFI manages the infrastructure. As of January 2015, RFI operated lines more than 16,750 km in total length; more than 11,900 Km of it are electrified, and over 7,500 Km are double track. The system also consists of nearly 2,200 customer stations and stops.

In 2013, 33 railway companies operated on the national railway network, totaling more than 333 million train km. RFI employs approximately 27,000 people and invests about $2.8 billion Euros per year to support that infrastructure. RFI has a broad base of operations, with one central operating group and 15 regional ones.

The mission of RFI is to commercialize train tracks on a secure and reliable infrastructure. People using RFI’s trains have to be safe and secure, and RFI strives to respond to changing market needs in a sustainable manner. Until recently, however, all maintenance was conducted on a proactive or scheduled maintenance basis. To achieve the goals of safety and sustainability, RFI decided to optimize its maintenance management by building a predictive maintenance strategy that could deal with legislation and reporting requirements of the Italian National Safety Authority. At the same time, RFI needed to take control of its operating costs in the face of rising material and labor expenses, as well as higher costs for utilities, taxes and duties. With limited dollars and manpower, RFI decided that it needed to move from a time-based to a predictive maintenance strategy.

 

 

From a technology standpoint, RFI works with 200 SAP® object classes, more than 2,000 technical characteristics, nearly 2,000,000 functional locations and more than 5,000 maintenance tasks. A key requirement of RFI’s enterprise APM solution was that it integrated with its SAP system.

Solution

RFI implemented Meridium Enterprise APM by first separating its operations by market and by the number of trains running on those lines. For example, RFI’s high speed lines are the core of its business, and as such, much of the organizations’ maintenance dollars are spent there. Next, they determined the availability and defined maintenance activities for each class of line. RFI then conducted MTBF analysis and reliability growth and distribution. Finally, RFI developed KPIs and metrics by sector. Everyone has access to the KPI affecting their sector. The first group of users, who worked directly on developing the project, will be used to educate and train others to use the system. Training for all will include learning to use Meridium and to conduct risk assessments. RFI believes that using Meridium APM gives them an objective view of the health of their assets, as well as guides them in deciding when it is necessary to perform specific maintenance or not, and how to make the most effective use of manpower resources.

RFI also wants its employees to learn to use Meridium APM, because they believe it will help improve overall work quality and eventually reduce their workload so that they can focus on additional tasks.

Conclusion

The central planning department will use Meridium APM to identify and assess both existing and proposed maintenance activities and to assess the health of its infrastructure. Meridium will also be used at a regional level by planning departments to conduct performance and reliability analysis. As a result, RFI anticipates improved earnings and a reduction in time and dollars spent on maintenance.