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CMMS

tracking KPIs

Maintenance Key Performance Indicators: Tracking KPIs

Tracking KPIs (Key Performance Indicators) is crucial for maintenance operations. With vast data at our disposal, we’re able to calculate the performance of our maintenance teams to narrow down all stats from Mean Time Between Failures (MTBF), Mean Time to Repair (MTTR), Mean Time to Failure (c), and others. It is always challenging to have all the data at your fingertips.

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Streamlining Work Order Management for Improved Facility Operations

Optimizing work order management requires strategic planning, effective use of technology, and continuous refinement of processes. By standardizing workflows, leveraging CMMS tools for task prioritization, minimizing response times, and integrating various business functions, organizations can significantly enhance their facility operations.

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Five CMMS Trends to Look for in 2025

Imagine walking into a workplace with the quiet efficiency of interconnected machines. Sensors continuously relay real-time data, AI algorithms flag potential issues before they arise, and maintenance schedules practically run themselves. This isn’t a farfetched vision for the future. It’s the reality that companies across multiple industries are embracing with today’s computerized maintenance management systems (CMMS).

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Procurement Challenges of Maintenance Spare Parts Supply 

The job of a maintenance worker is dependent on variables such as supplying spare parts or managing the spare parts inventory. Other challenges involve procuring the right supplier for spare parts. This boils down to challenges related to settling the entire supply chain internally because if you have several facilities, you also need to consider internal spare parts transfers between different warehouses.

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Where AI, Industry 4.0, and IIoT Meet Maintenance Data Integrity

In the evolving landscape of industrial maintenance, one truth remains constant: the quality of maintenance decisions can never exceed the quality of the data upon which they are based.  As we stand at the intersection of Artificial Intelligence, Industry 4.0, and Industrial Internet of Things (IIoT), this fundamental principle becomes even more critical. While these technologies promise transformative capabilities in predictive maintenance and asset optimization, they amplify rather than eliminate the importance of data integrity. 

Where AI, Industry 4.0, and IIoT Meet Maintenance Data Integrity Read More »

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