Unplanned downtime has been the nemesis of manufacturing since the very beginning. Now, with the push toward a smarter, more ...

AssetWatch, Inc., the fast-growing leader of end-to-end predictive maintenance and condition monitoring solutions, today ...

Today, plant assets play a key role in overall enterprise efficiency. That is why manufacturers are turning to reliability-based maintenance (RBM) more and more, using RBM as a strategy to help ...

By understanding the foundations of RCM, the benefits and potential challenges of this approach, and what is required for ...

Criticality analysis is defined as the process of assigning assets a criticality rating based on their potential risk of failure. Criticality analysis is defined as the process of assigning assets a ...

Vibration analysis helps you monitor and detect issues using vibration data. Read about vibration analysis methodology, tools and techniques, vibration analysis measurement methods, and more.

Managing a work order backlog is not the most exciting of maintenance tasks, but without a complete and up-to-date backlog, important work will be forgotten. Indeed, good backlog management is a ...

What is a Fishbone Diagram? A fishbone diagram is a cause-and-effect discovery tool that helps figure out the reason(s) for defects, variations or failures within a process. In other words, it helps ...

Total productive maintenance (TPM) is the process of using machines, equipment, employees and supporting processes to maintain and improve the integrity of production and the quality of systems.

Lean manufacturing or “going lean,” refers to a series of methods, philosophies and tools to minimize waste in your business and maximize production. Read about different ways your company can go lean ...

Wouldn’t be nice if every new piece of equipment or system worked flawlessly from the moment it was installed and initiated until the first breakdown occurred many years later. That would be an ...

A maintenance program is only as good as its measurement data. Poor data may be worse than no data at all because poor data may lead to the wrong analysis, resulting in working on the wrong thing. One ...