Predictive maintenance and CMMS: how to get better results?

The association of the predictive maintenance and a CMMS allows you to anticipate the deterioration of your equipment, and to repair it before the failure occurs. Even though predictive maintenance tools provide powerful data concerning vibration, lubricant status, liquid or gas pressure, the value of this data is limited if it is not integrated into a CMMS. Mobility Work allows for deeper analysis of predictive maintenance data, and to put it in context with other important data, such as spare parts management, the repair schedule and lots of other information, in order to significantly increase the efficiency of your maintenance routine.

Predictive maintenance associated with your CMMS software

Repairing equipment before a failure occurs?

One maintenance application A new generation such as Mobility Work combines cloud computing and predictive algorithms to provide professionals with the most accurate information about each piece of equipment. Maintenance management software is an essential organizational tool for managing maintenance interventions, and allows you to manage spare parts and the workforce, in order to automatically generate instructions and control schedules. Maintenance management software thus makes it possible to improve the overall performance of the plant, to optimize usage times and to reduce costs.

Studies show that businesses are still taking too long to react to unforeseen events and breakdowns, instead of proactively preventing them through predictive maintenance. Predictive algorithms are based on data obtained in real time through diagnostic and performance monitoring equipment. Among the most studied measurements are vibration, oil condition, temperature, pressure, etc.

Nowadays, it is possible to combining the qualities of asset management software with predictive maintenance in order to anticipate the evolution of a machine, and to automatically plan its maintenance needs. Mobility Work maintenance management software can collect key equipment data in order to better plan maintenance or repair interventions, and thus help industry professionals save time and money.

The calendar feature offered by Mobility Work allows you to plan all your preventive and predictive maintenance interventions.

Predictive maintenance uses real-time data

Predictive maintenance allows maintenance interventions to be carried out on a real database, rather than on estimates. Technicians are immediately informed by the Mobility Work news feed as soon as changes in the state of a machine are detected.

Data is obtained by measuring temperature, lubrication, vibration, vibration, liquid pressure, liquid pressure, noise, corrosion, etc. The tools for performing conditional diagnostics can vary from sophisticated software to low-cost meters, to industrial programmable controllers (PLCs). Data relating to the operation of the equipment is collected while the equipment is in normal operation, without having to interrupt the production process. These tools make it possible to detect problems that are difficult to detect during an ordinary scheduled inspection. Predictive maintenance uses degradation patterns for certain variables to describe exactly how a piece of equipment deteriorates.

Equipment operating data is important

Predictive maintenance requires data on the condition of the equipment. In order to make feasible decisions, this raw data must be stored in a reliable CMMS, then integrated into a more global vision of the condition of the equipment.

Mobility Work helps to combine readings in different contexts in relation to all other data on an equipment, such as reading history, previous interventions, spare parts information. Thanks to this global vision, you can understand the current condition of your equipment, and predict future problems with surprising accuracy.

How to analyze your data with Mobility Work maintenance software

Maintenance management software and predictive maintenance are both essential for high-quality maintenance management; however, maintenance management software does not make it possible to assess the condition of a machine. Predictive maintenance provides any business with valuable data, but is not of particular use in organizing general maintenance management. Combining the two technologies into a single system brings considerable benefits to the business, and above all, prevents catastrophic failures.

Benefits of predictive maintenance and step-by-step guide

How do you get the most comprehensive view of your equipment?

Predictive maintenance data can be transferred to maintenance management software in several ways:

Manual transfer
Technicians check variables and transfer them directly to a mobile device, smartphone, or desktop computer.

Real-time streaming
Sensors can be attached to equipment, and send data streams directly to the maintenance management software.

Passive data exchange
Predictive maintenance data is assigned to a specific directory, locally or on a network. They are scanned by the CMMS in order to read the linked files, and import them into its database.

Integrate asset management software and predictive maintenance into an automatic system
Consistent data (e.g. all equipment names) and cross-references (a reading in one system must be associated with an accurate reading in another system) are configured in both systems.)

The asset management software with predictive maintenance capabilities
Depending on the industry targeted, Mobility Work is adaptable to all the transfer methods mentioned above, and applies to all devices and all maintenance operations.

In addition, Mobility Work offers its users the possibility to customize their settings, such as maximum and minimum levels for each type of meter reading. If the data exceeds the established values, the maintenance management software will automatically create a task. Mobility Work can immediately notify a technician and prepare a list of spare parts, with the entire history of interventions carried out on the machine. The flexibility of the tool saves time and money by optimizing overall maintenance results.

What are the direct benefits of predictive maintenance?

• Data analysis and reports
• Improving equipment planning and repair
• Alarms and alerts indicating upcoming issues
• Generating orders based on predefined tasks
• Notification of when and where equipment failures are most likely to occur
• No more unplanned outages
• Monitoring spare parts stocks
• Extending the life of equipment
• Reduced maintenance costs
• Scheduling predictive maintenance tasks outside of equipment operating hours and increasing productivity
• Improving safety
• Information and tools for maintenance professionals to analyze background

The most important aspect of combining predictive maintenance/CMMS is the collection of conditional data and its analysis. Mobility Work's analytical functionality quickly alerts you to the deterioration of key equipment, and can also predict the occurrence of breakdowns.

The Big Data tool in the Mobility Work application helps you make better decisions thanks to customizable indicators.

With the advance of Industry 4.0, businesses will increasingly need to integrate the importance of digitalization and connected systems. Mobility Work, the next-gen CMMS, fits perfectly into this dynamic of a connected factory, for the better.

Are you interested in maintenance management and want to know more in order to increase your productivity and save money? Try our CMMS application for free for 7 days, and improve your maintenance management today!