You hear it more and more often: predictive maintenance. Rightfully so, because it enables businesses to predict a future failure point in their assets. With all the benefits that are a result of this, like minimal loss in production and less downtime and maintenance costs, you would think that most businesses have this technology in place. Unfortunately, nothing is less true.
- Pieter Van Camp
RELIABILITY CENTERED MAINTENANCE AUDITS: Why Regular Auditing Better Ensures a Positive Return on Investment
As advancements in technologies continue to change the face of the industry and its processes, the challenges faced by manufacturing companies in their pursuit of reliability remain the same...
- Stephen Allen Bailey
- IVC Technologies
I’ve always thought that knowing when something was going to fail was unknowable. Of course, predictive maintenance vendors shout from the rooftops about the effectiveness of their technology. Even the onboard computers tell you to replace components, somehow knowing when the failure will occur.
But really, most failures are not related to wear or aging, so how can we know what is going to happen and when? This discussion leads me into the sales pitches for AI (Artificial Intelligence). Can we ever get to the point where there is so much data that we can really predict the future?
- Joel Levitt
Erin Erickson, the Executive Director of SMRP, answers questions about upcoming case studies event and other exciting news from SMRP.
- Erin Erickson
The results are in! 1,000+ industry professionals participated in the global survey earlier this year, in efforts to clearly identify the key factors to having a successful reliability improvement program. This benchmarking tool will help you to...
- Jason Tranter
- Mobius Institute
Failure-based Maintenance (FBM) is unscheduled maintenance or repair to return the asset to a defined state. There are no interventions until a failure has occurred. This includes the Reactive Maintenance and the Run to Failure (RTF) Maintenance. Many are not differentiating between the above-mentioned types of Maintenance and use the two terms as alternatives.
- Ahmed Kotb
With the market and technology rapidly changing, it’s almost impossible to keep up. Most of the companies we speak to are in the midst of a digital transformation but don’t yet have a scalable, reliable solution for implementing their Industry 4.0. They are facing challenges that they don’t know how to overcome.
- Olivier Dengis
- I-care Group
In this interview Can Uslu discusses how facility operating projects helped him gain expertise in Predictive Maintenance.
- Can Uslu