Plant updates can be tested before operators throw the switch on the control system. The use of simulation will likely expand considerably in 2012. Simulation is being used in new plant development, plant updates, and in configuring the plant for new products or for greater optimization.
The advantage is the ability to test the system before it is deployed. The result is a significant reduction in set-up costs -- both labor and time –- and greater optimization. Plant operators report that the reduction in set-up costs alone covers the cost of using simulation. This photo shows an example of simulation used to configure robots.
(Source: Simx Simulation.)
Thanks for that info Rob. That means it's possible--although not necessarily likely--that newer machine vision interface standards might go into the emerging economy geographies. But not necessarily the more complex ones, like GigE, which require more expertise. It's not a clear picture, anyway, from the MV standpoint.
There is probably a factor of how complex the products getting manufacturied are. The low-cost geographies tend to produce products that are commoditized. Complex medical products and military products are staying in North America.
Thanks, that makes sense. This is clearly a multi-variable equation! It's also good to know that there are any products being manufactured over here, and even better to know that they're complex and high-ticket items.
Yes, one of the secrets of U.S. manufacturing is that it's robust. We were the largest manufacturing country until just two years ago when China passed us. Our labor costs are coming down lately. This is partly because there is less union, so some of the cost is coming from lower worker wages. Plus, our plants processes are driving down the cost of manufacturing through automation.
Companies such as Texas Instruments are choosing the U.S. for new plants. The outsourcing wave is over, and now brand owners are thinking more in terms of locating plants near the markets. That means Eastern Europe for Europe and the southern U.S. for North America. So a good chunk of manufacturing is coming back to the U.S. recently.
Rob, thanks for this info. That's heartening and inspiring. I didn't know the offshoring wave had turned. I remember seeing hints of that a few years back and being cynical about those hints continuing and growing. I was at offshoring ground zero in tech writing in 2000-2001 when the news about it broke. We had 70% unemployment rates in that industry in that year. This was a huge industry crash, just before offshoring hit engineers. More recently, when wages started to increase in the Asian and other outsourced-to countries I hoped the wave would turn back, although it's unfortunate that it's at least partly because our own workers are getting lower pay.
Yes, I know what you mean. I was on the staff of Electric News during that crash. Companies were reporting 40% drops in business, almost overnight. Everyone was running to China without even thinking it through.
Some products won't come back (cellphones, laptops). But the rush is over according to outsourcing analyst firms. Some companies are coming back, some are deciding not to go to Asia.
With all the commody manufacturing in China, they will probably remain number one. But there is still tons of manufacturing here in the number two country.
You know, Rob, what the tech writers union found out at the time was that major Silicon Valley employers had been gradually offshoring jobs for about 10 years and keeping it a huge secret. This was not rumors, but facts. They already had in the works the same plans for engineering jobs. By the time we found out what was happening, critical mass was being reached, so that's why such a huge dropoff happened so fast. It took a lot less than 10 years for the shift in engineering jobs, mostly because the infrastructure was now in place that could support offshoring of both job types. Apparently they started with tech writing because we had less of a clue what was going on than engineers and weren't thought likely to scream as loud (nor would anyone care as much if we did). Essentially the same thing had been going on with manufacturing, in parallel. I wrote a story about offshoring manufacturing as long ago as 1989 for Computer Design News.
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.
Using Siemens NX software, a team of engineering students from the University of Michigan built an electric vehicle and raced in the 2013 Bridgestone World Solar Challenge. One of those students blogged for Design News throughout the race.
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.
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.