Implementing the Highest Standard of Predictive Maintenance with CMMS

14.2.2018

Predictive maintenance is mandatory to maintaining high-quality management processes because it provides insightful data on the overall maintenance management. When used in combination with fully-featured CMMS, PdM empowers organizations to accurately project maintenance costs based on asset lifecycle and criticality in comparison to their budget and prevent catastrophic failures by fixing vital assets before they actually fail.

maintenance

Advanced CMMS runs on cloud technology and employs predictive algorithms to offer a real-time view of every single asset across locations. Being a centralized platform, it includes inventory and workforce management features that automate work order generation and track maintenance schedules from start to finish, thereby optimizing asset uptime, lowering repair costs, and improving the overall operational efficiency.

CMMS software shifts the focus of the maintenance team from reacting to unplanned downtime and unexpected asset failures to proactive maintenance based on real-time asset performance and condition data. Combining the two technologies in one powerful system empowers organizations to accurately forecast the required maintenance based on the risk of failure and expected service life. CMMS software connects every vital infrastructure asset to a centralized database to predict when each needs to be inspected, serviced or repaired, thereby helping facilities save enormous time, effort and resources on last minute repairs and replacements.  

Capitalizing on Real-time Data for a Refined View of Vital Assets   

There are a lot of variables that can affect asset condition and performance but with the power of web CMMS, technicians can track and monitor these variables and take immediate action to service and repair equipment and stay ahead of failures. CMMS streamlines predictive maintenance by sending instant notifications to the maintenance crew on detecting any changes in a machine’s performance or condition. This data is obtained from the consistent monitoring of every individual asset and measurements of liquid pressure, corrosion, vibration, lubrication, temperature, noise and other relevant variables without interrupting the normal operations. With accurate condition-based diagnostics and precise data on equipment function, issues can be detected before the degradation pattern becomes visible and this enables facility managers to detect imminent issues that are not apparent during scheduled inspections.  

How CMMS Software Converts Raw Data into a Complete Picture    

Effective PdM requires condition-based data of vital infrastructure assets in order to facilitate accurate decisions. CMMS software offers a comprehensive view of asset condition in real-time by documenting raw data and maintaining accurate records of asset history, inventory levels, previous repairs, replacements, vendor contracts, warranties and relevant readings. This makes it easier for facility managers to stay on top of asset performance in real-time and predict future problems accurately.

How to Make the Most of PdM Data Using Web CMMS  

PdM data can be migrated to web CMMS using any of the following ways:

  • Manually

Maintenance technicians can check the variables and manually transfer them to an internet-enabled mobile device or a desktop.

  • Data Streaming

Sensors can be installed on crucial assets and the data can then be streamed directly to CMMS software.

  •  Passive Exchange of Data

Existing PmD data can be assigned to a network directory or to a specific local directory which the web CMMS can crawl to scan and import relevant information onto an easy-to-access database.  

  • Automatic Integration

Web CMMS serves to store and evaluate PdM data including equipment names and cross-references to give the maintenance crew an end-to end view of maintenance management while eliminating the uncertainty caused by relying on estimates or assuming when an asset can fail.

CMMS software incorporates customizable features for speedy, streamlined and seamless maintenance operations. It gives the end-user the freedom to predefine minimum and maximum parameters for all types readings and if the data exceeds the established limits, the web CMMS automatically triggers a work order and notifies the technician along with the asset’s repair and maintenance history and a list of parts. The analytic features of web CMMS provide early warning signs of asset failure, improve safety, and increase productivity. The intuitiveness of CMMS not only saves time and effort but also prevents unplanned downtime and extends asset lifecycle while optimizing the overall efficiency of maintenance operations.

 

Writer of this blog post for Maintworld-magazine: Lindsey Walker

lindsey

Lindsey Walker is the marketing manager for NEXGEN Asset Management. She specializes in business development, project management and asset management. She loves to read and the books in her library are her prized possessions.

 

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