Many see today’s quickly evolving manufacturing and production technology as a distinct sea change in the way goods are created. Industry 4.0, considered the 4th industrial revolution, combines automation, cloud computing and the Industrial Internet of Things (IIoT) to create truly “smart” factories and processes. As more and more systems begin to rely on computing power, the importance of reliable hardware can’t be overstated. A single hour of IT related downtime can cost the average mid-sized manufacturer tens of thousands of dollars in lost revenue.
In the last few decades, reliability engineers have used various methods to quantify the dependability of electrical components and devices. One frequently referenced measurement is Mean Time Between Failure or MTBF.
As the name would suggest, Mean Time Between Failure attempts to estimate the length of time a given product is likely to operate before needing to be serviced or replaced. However, as with most generalized measurements of dependability, there are a wide range of variables that can impact the accuracy of published MTBF figures and, in some cases, render them completely irrelevant.
In our new white paper, we examine MTBF as it relates to the industrial PC industry and the factors to consider when assessing the reliability of computer hardware. Download the white paper to learn about the challenges faced by today’s industrial PC users in assessing reliability and how MTBF factors into an educated hardware decision.
Darek is the Communications Manager at OnLogic. His passion for both journalism and technology has led him from the newsrooms of local papers to the manufacturing floor of IBM. His background in news gathering has him always on the lookout for the latest in emerging tech and the best ways to share that information with readers. In addition to his affinity for words, Darek is a music lover, juggler and huge fan of terrible jokes.