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Ann Porten : Author Archives

CMMS Software Trends You Should Look for in 2023

Computerized maintenance management systems (CMMS) software is evolving in tandem with other cutting-edge technologies that improve asset and maintenance management. Instead of manually collecting data from various sources, this technology can collect and analyze data remotely, allowing organizations to track asset health and performance. Today, we will be discussing emerging CMMS software trends, such as…

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Protecting Your Assets With Maintenance Management Systems

Two workers in blue overalls and white helmets discussing equipment with clipboard

Maintenance management is essential for protecting and maintaining a company’s physical assets and resources. Enterprise organizations use maintenance management systems to track equipment, workers, and inventory, ultimately saving money on repairs, unnecessary maintenance, and unplanned downtime while ensuring maximum productivity and safety. Our intent here is to help maintenance professionals understand more about maintenance management…

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Facilities Management Improvement Strategies To Create Optimal Productivity

Male and female plant managers discuss facilities management improvement strategies

Facility managers are always on the lookout for new ways to increase productivity and efficiency. They need to be quick to adopt new solutions that result in better and more efficient facility management services. The ability to automate and optimize workflows and enable real-time data sharing and more efficient resource utilization is proving to be pivotal in their adoption of new, innovative technology.

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Predictive Maintenance Requires Accurate Data

Predictive maintenance of equipment based on artificial intelligence models holds great promise. An asset management system could alert a plant or facilities manager that a piece of equipment is about to fail. However, predictions are only as good as the data they are based on. A false alarm triggered by a lack of data or inaccurate data can lead to incorrect actions and additional costs. Bottom line: predictive maintenance will only be able to predict those problems for which it already has accurate data.

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