How to Break Free From the Dependence on Intuition and Unique Skills in Maintenance Work
Why does maintenance work tend to become narrowly focused so that it becomes virtually inaccessible to most people?
Tips For A Successful Preventative Maintenance Strategy
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Preventative maintenance is a comprehensive and facility wide program that ensures that you're protecting your investment dollars and supporting the bottom line of your facility, including ensuring the health and well-being of all associates working on the production line.
How To Improve Production With Autonomous Maintenance
Autonomous Maintenance is one of eight pillars that make up Total Productive Maintenance (TPM). It's also one of the most important activities that eventually determine the success of any TPM implementation project.
How to Keep Your Manufacturing Plant Clean
Manufacturing plant cleanliness was a hugely important topic long before the global outbreak of COVID-19. However, recent events have thrown this issue into even sharper relief.
Challenges of PLM Integration
Time to market and innovation issues are only two examples from the long list of the most common challenges even the top manufacturers face. In an effort to solve their problems and optimize their business processes, most manufacturers turn to tailored PLM solutions nowadays.
Condition Based Maintenance (CBM)
In contrast to traditional corrective maintenance or scheduled maintenance, CBM is an approach whereby maintenance is performed proactively on evidence of need identified through direct or indirect monitoring and predictive analytics of the assets of interest.
Maintenance in the Digital World
Taking a predictive approach to maintenance is key to maximising uptime, and with Industry 4.0 transforming the manufacturing landscape, now is the time for design engineers to look to digital solutions to reduce machine downtime and ensure consistent levels of efficiency.
Metal Additive Manufacturing Powder Recovery Equipment
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Metal AM powders, such as titanium, aluminium and Inconel are used to produce parts for F1 cars and to ensure their quality, the powder is qualified before use and, when the build process is complete, unused powder is reclaimed and requalified.
Seven Key Considerations When Choosing the Right Equipment Lubricant
Not investing in the right lubricant is clearly a costly mistake especially if you are buying old machinery for business use. This is because a good lubricant can maximize the returns on your investment by ensuring that your old machinery runs at optimal efficiency...
How to Effectively Clean and Maintain Manufacturing Equipment
Addressing the wear and tear on equipment is essential for any manufacturing operation, and in this article, we'll detail everything you need to know. We'll walk you through four effective methods of cleaning and maintenance so you can avoid expensive downtime
Using IoT for Machine Learning-based Predictive Maintenance
By tapping into existing maintenance or equipment logs, a manufacturer can apply machine learning to predict which connected devices or machines will be in need of servicing or forecast required inventory levels across warehouse locations...
Hose Failure Can Halt the Manufacturing Process … Don't Let It Happen
Preventative maintenance can have far-reaching effects, so take the necessary steps. Dont let something as small as a hydraulic hose failure cost your factory a sizable sum.
Why Startups Are the Future for the Industrial Internet
Predictive maintenance is revolutionizing the industry and transforming the entire operation. This technology predicts problems in a factory before they even happen, changing the paradigm and preventing disasters.
Predictive Maintenance, the 1st Step Towards Self-Maintenance and AI
Many businesses are already using continuous monitoring technologies - like Internet of Things (IoT) connected devices - which is a good start; but the key lies in not just simply monitoring the output of various data (which is how many companies use it today), but by taking the next step and employing advanced algorithms and machine learning to take action from real-time insights and anticipate future outcomes.
Machine Learning for Asset Maintenance
Unsupervised Machine Learning is much more cost effective than Supervised Machine Learning because the algorithm does not need blueprints or understanding of the physical process to "learn" the behavior of the asset.
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