It’s easy to take bearings for granted. Essential components of factory equipment, they’re highly engineered and manufactured to hyper-precise tolerances. As such, they require strict maintenance protocols and ignoring those protocols can rapidly lead to otherwise avoidable bearing failure. In the best-case scenario, bearing failure puts your equipment out of
The COVID-19 pandemic has drastically impacted the global economy, but the real test for manufacturers will be how they adapt going forward. With supply chain disruptions, labor shortages, and constantly changing consumer demands, it’s clear that all businesses will need to be lightning fast in the coming months to keep
With nearly 3 out of 4 Americans in a state of lockdown, many companies are attempting to convert as much of their business to a remote operation as possible. For manufacturers this can be especially challenging. While some workforce can’t be sent home, predictive maintenance tools offer an incredible opportunity
Equipment maintenance is one of the biggest cost centers for many industries, including manufacturing. Maintenance programs of the past sought to increase the uptime and lifespan of key machinery assets by ensuring they were well cared for on a routine basis, thus minimizing the chance that they would breakdown at
IoT enabled technology is changing the way many industries approach interactivity with their assets. In the manufacturing industry specifically, most companies have made significant investments to move from preventative maintenance to a predictive maintenance model utilizing these powerful tools. In the past decade, smartphones and tablets have become mainstream in
Reliability engineers have an important role in the modern manufacturing workplace. Everything from end-user safety, to maintenance cost reduction, falls under the domain of the reliability engineer. While the job dates back to the 1920s at Bell Labs with the introduction of statistical process control, the advent of modern computers
Staying competitive is always top of mind for manufacturers. With the ever-increasing supply of goods from overseas producers coupled with the rising costs of domestic production, manufacturers need to utilize any advantage they can. In manufacturing, one of the best investments is reducing machine breakdowns. Studies have consistently demonstrated that downtime
BorgWarner’s reliability maintenance expert, David Stancil, presented a case study at the CBM Conference on the practical application of vibration monitoring strategies for machine tool programs. He discussed his experience applying the strategies and technologies and explained how manufacturers can save as much as $27,000. By trending machine performance data
Predictive maintenance programs require the right investment, both in capital and in time, to work correctly. While most companies recognize the value in these programs, many become overwhelmed by all their options and some are still hesitant to adopt new technology. In our experience, there are three common reasons why
With the manufacturing industry in a state of flux thanks to automation and globalization, companies are desperately trying to reduce costs wherever possible. Many are turning to predictive maintenance programs to minimize downtime and keep machines operating at optimal health, but some still wonder whether these tactics are worth the
“Launching a predictive maintenance program is not merely an operational upgrade; it’s a strategic investment. By anticipating failures before they occur, we not only save substantial costs but also significantly reduce downtime. This proactive approach transforms maintenance from a cost center into a value driver, ensuring our machinery’s longevity and our business’s uninterrupted success.”
