As a scientist by training and an engineer at heart, reliability engineering is a fascinating subject, replete with neat technologies, like vibration analysis, ultrasound, ferrography and oil analysis. To the geeks among us, there's nothing more magical than trending bearing defect frequencies, recording decibel readings, observing severe sliding wear particles on a microscope slide, or interpreting acid numbers.
To mangle a 270-year-old sonnet written by Elizabeth Barrett Browning -- How do we dislike our bosses? Let us count the ways.
Survey after survey, Americans (and everyone else) trash their bosses. Gallup reports only 12 percent of American workers are engaged. Research conducted and published by Inc. reveals 75 percent of employees say their boss is the worst part of their job. And two-thirds add a new (better) boss is even more desired than a pay raise.
This may sound difficult to believe, but it can be true. In the definition of efficient we find the following: "achieving maximum productivity with minimum wasted effort or expense." While this is great for busy executives and companies, it is terrible for projects, especially when it comes to communicating about the project with others.
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The odds of picking the first place winner in a horse race are slim. The odds of picking the first, second and third place winners are even less favorable, but when it happens, the trifecta payday is big!
If your organization is like most using automation for productivity, then overall equipment effectiveness (OEE) is most likely being used as a key metric in determining where improvement efforts should be focused.
On Tuesday (Oct. 7), the Royal Swedish Academy of Sciences awarded the 2014 Nobel Prize in Physics to three researchers whose work contributed to the development of a radically more efficient form of lighting known as light-emitting diodes, or LEDs.
Machine condition monitoring requires a proper foundation from understanding and aligning criticality and failure mode analysis. Sadly, for most plants, condition monitoring consists of multiple technologies that are cobbled together in an attempt to enhance machine reliability.
The short reason is because complex systems can have more requirements which, in turn, increase the number of failure points. And each requirement can have multiple prerequisites. An asset management system has three main areas needing ongoing attention: software/data, process/procedure and roles/responsibility. Advanced processes have the most prerequisites. Weakness in any one area or supporting variable can cause system failure.
Reliability has become such an integral expectation in our society that it is difficult to imagine a world where things do not work as expected. The first use of the word reliability was by poet Samuel Taylor Coleridge, who bestowed the word on his friend, the poet Robert Southey, to praise his steadfastness. From this seemingly insignificant usage of the term, reliability has grown enormously to a broadly accepted, if not entirely understood, property that everyone expects for a wide range of situations. Online searches for reliability and related terms result in thousands of references in papers and manuscripts and literally millions of hits on the Internet.
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