I can't totally fault them for using old equipment, as long as it was working well. In the physical/dimensional arena, there are many areas where the advances in engineering have not greatly improved measurement accuracy.
For example, modern electronic theodolites are no more accurate in terms of angular measurements than manual instruments that are older than I am, and I can retire in a few years. The modern instruments have additional features, are easier to read and operate, but are no more accurate than some theodolites built in 1950. This ease of use comes at a price. The old manual instruments had to be made carefully, and got their accuracy by the manufacturers making the instrument misalignments as small as possible. Modern instruments measure the misalignments and compensate for them in software. This works great, as long as the instrument was setup properly. Otherwise, it will cheefully lie to you with a straight face.
Mechanically and optically, those old theodolites are often better than the new ones. That is, and this is the kicker, assuming they have been carefully used and maintained for all those years.
- Company's knowledge base in it's employees (a very hard to quantify item)
- Standards (and equipment in general) being used in a organization.
I thought the Rob did a good job of making the distinction. Jason and Tim made some very good points on the subject. Properly maintained older equipment in knowledgeable hands often performs as well (sometimes much better than) the latest / greatest equipment available.
The wisdom to know which issue you are dealing with ... priceless.
sorta like: defining the most cost effective duration to own a car. It depends.
Good distinction, Jason. And you bring up an important issue I keep hearing about--that is the knowledge transfer of critical IP, especially when a firm has not fully embraced systems and processes to capture all of their design intellectual property. Whether that IP sits in some engineer's head regarding test practices or design best practices, it's crucial organizations formalize a way to hang on to all those IP assets especially as we see a generation of engineers retiring from the work force.
Beth: I agree with you for 80% of the cases out there concerning aging equipment. However the other 20% I will have to disagree.
One of the problems will show itself when you have custom application or device that was designed by the current Guru who then, 5 years later, retires and never really taught anyone some of their tricks. This tends to leave a company/group with a piece of equipment that was built in house that still does not have a modern counterpart because it was never designed for the outside world.
We have several issue like this at work where it is taking longer to try and recreate a test solution than if we had just continued using the solution that was made 5 or 10 years ago.
With so many advances having been made on nearly every level in engineering, manufacturing, and testing, I find it scary that a 40-plus year piece of equipment still plays such a major role in development. Semi-proficient or not, it's time to get with the program and embrace the modern world.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
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.