Predictive maintenance & CMMS

Combining Predictive Maintenance and CMMS Boosts the Effectiveness of Your Maintenance Routine

Combining predictive maintenance and CMMS in one seamless system helps you anticipate when your equipment would start breaking down and fix it before it actually fails. Even though PdM tools provide powerful data about vibration, lubricant condition, liquid or gas pressure, that data’s value is limited without being incorporated in a CMMS. Mobility Work analyzes further the PdM data in the context of other important data, spare parts management, repair schedules and many more to enormously boost the effectiveness of your maintenance routine.


What If You Could Always Fix Your Equipment Before It Breaks?

A next-gen CMMS as Mobility Work connects cloud technology and predictive algorithms to provide professionals with the most precise view of every single piece of equipment. As a central organizational tool for highly efficient maintenance operations, the CMMS includes spare parts and workforce management to set up automatic work order generation and to control schedules. By providing this variety of functions, the maintenance software improves the overall plant’s efficiency, optimizes uptime and lowers costs.

Studies show that companies are still spending far too much time reacting to unplanned issues and breakdowns rather than proactively preventing them through predictive maintenance. Predictive algorithms are based on data, obtained by real-time equipment performance monitoring and diagnostic. Some of the mostly tracked measurements include vibration, oil condition, temperature, pressure and so on. 

Nowadays it is absolutely possible to combine the qualities of a CMMS with a PdM in such a way that machine’s future status is forecast and required maintenance worked automatically planned. CMMS can connect critical assets to a database to predict when they will need maintenance or repair and thus help professionals across all industries save time and money.


Predictive Maintenance Strategy Uses Real-Time Data Gathered By Condition-Based Maintenance Tools

According to PdM maintenance work is performed based on actual data instead of estimates. Technicians get immediately notified via Mobility Work as soon as changes in a machine’s condition get detected.

The data is obtained through measurements of temperature, lubrication, vibration, liquid pressure, noise, corrosion and many more. Tools that run condition-based diagnostics can vary from sophisticated software to low-cost meters and programmable logic controllers (PLCs). Data on equipment function is gathered while the asset is in normal operation, without interrupting the production process. The purpose of these tools is to detect issues that would not be obvious during standard, time-scheduled inspections. Predictive maintenance uses the degradation patterns of certain variables to describe how exactly a piece of equipment is wearing out.


Equipment Function Data Is Important But Limited Without the Context Provided By CMMS

Predictive maintenance requires the condition-based data gathered from the equipment. To create actionable decisions this raw data need to be stored in a reliable CMMS and incorporated in the comprehensive view of the asset health.

Mobility Work helps you combine readings in different context in relation to all the other data about an asset as history of readings, previous interventions, spare parts information. Thanks to this “complete picture” you can understand your equipment’s current condition and predict future problems with an astonishing accuracy.

How to Analyze Your Data With the Mobility Work CMMS

Both CMMS and PdM are indispensable for high-quality maintenance management process. CMMS is a must for every organization, but can not measure machine’s condition. A PdM provides every organization with highly valuable data, but can not do a lot for the organization of the overall maintenance management. Combining both technologies in one system brings enormous benefits to an organization and above all – it prevents catastrophic breakdowns.


How to Combine PdM Data and CMMS to Get the Most Comprehensive View of Your Equipment

PdM data can be transferred to CMMS in several ways: 

Manual transfer

The technicians who check the variables can transfer them directly to a mobile device or a desktop computer. 


Sensors can be attached to the assets and send a stream of data directly to the CMMS. 

Passive data exchange

PdM data is assigned to a specified local or network directory, which the CMMS crawls to read the related files and import them into the CMMS database. 

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Integrating CMMS and PdM into an automatic system

Consistent data (e.g. all equipment names) and cross-references (reading in one system should be associated with the exact readings in the other system) are set up for both systems. 

CMMS with predictive maintenance capabilities

Depending on the target industry, Mobility Work is adaptable to any of the mentioned above transfer methods and it provides a variety of features along with a spectrum of maintenance operations to choose from.

Moreover, it gives users the possibility to create parameters such as maximum and minimum levels for each type of meter reading. If the data exceeds the established values, the CMMS will automatically create a work order. Mobility Work can immediately notify a technician and prepare a list of spare parts with the entire machine’s intervention history. The flexibility of the software saves time and cost while optimizing the overall maintenance performance.


What Are the Direct Benefits of PdM and CMMS for Your Organization?

  • Analyze data and reporting
  • Improve scheduling and asset repair
  • Send alarms and alerts for current conditions that indicate future issues
  • Generate work orders based on pre-defined tasks
  • Determine when and where asset failures will likely occur
  • Analyze the causes of asset deterioration
  • Prevent unplanned downtime
  • Track spare parts inventory
  • Lengthen asset life cycle
  • Reduce maintenance costs
  • Plan PdM tasks during equipment off-hours and thus increase productivity
  • Improve safety
  • Feature enough information and tools to allow maintenance professionals to analyze past history


The most important aspect of combining PdM with CMMS is what actually the CMMS can do with the condition-based data once it’s gathered. The analytic features of Mobility Work provide early warning of deterioration of critical equipment and furthermore can even predict when a failure will occur.

As industry 4.0 continues to push forwards, companies will more and more realize the importance of digitalization and connected systems. Mobility Work is a next-gen CMMS, supporting industrial systems integration and smart manufacturing.

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