Plant shutdowns can cause major business disruptions when they don't go as planned or finish on schedule. Reducing the ...
Maintenance teams are the backbone of industrial operations, yet they often face the stress of unexpected breakdowns, ...
This article is an overview of the findings by John Day's assessment of Alumax of South Carolina. In this aluminum plant, different approaches to maintenance and the philosophical side of maintenance ...
Predictive maintenance (PdM) technology allows organizations to continuously track equipment health, detecting early warning ...
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.
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.
"Get your motor runnin'. Head out on the highway. Lookin' for adventure and whatever comes our way . . ." - lyrics from Steppenwolf's 1968 classic song "Born to Be Wild" The Harley-Davidson image is ...
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 ...