Thanks Alexander. It may seem hard to believe be ocassionally we find old vacuum tube equipment (or old equipment generally, even if it's not vacuum tube) piled away "just in case the program comes back". While that concern does need to be cared for (and we do) the mentality of holding on / hoarding equipment is costly to the design engineer in ways they may not be able to imagine. Thanks again for your post.
Thanks Jack. I couldn't agree more with what you say. Large companies can be thought of as collections of smaller lab entitites Often each lab has its own process, procedure and spreadsheet -- almost identical to what you are talking about. We've actaully got a refined set of processes, supported by software tools and including people strategies. While we often write about the "big guys", as you say, the approach works for smaller companies as well. We are working on a couple of new offers that are scaled but but we think we will helpful to smaller companies. Thanks again.
Excellent article Paul. The need for a holistic approach is necessary on the other side of industry too, where you're not dealing with $100M setups. In those cases, however, the problem is not so much of the wrong approach being pushed down from above, but rather no unified approach whatsoever. Equipment, procedures etc. are just procured on as-needed basis and nothing is tied together.
Thanks for an informative article, Paul. Given the cost and sophistication of modern test equipment, a holistic equipment management strategy is essentially mandatory. At the same time, an article like this makes me fondly recall the old days, working with tube-based oscilloscopes. The test-equipment management strategy back then was, if the equipment acted up, you gave it a good whack on the side.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.