Ship building. Wow. In all fairness, it may not have been defensiveness but rather curiosity over why I had the impression that automotive seemed to be the dominant market for PLM. When I mentioned that most of the nametags indicated Michigan, the executive laughed.
Good observation, Rob. PLM has definitely been a big deal in the automotive sector for a long time--probably one of the strongest and first segments to embrace the technology. The perceived defensiveness is perhaps attributed to PLM vendors' (Siemens and others) aggressive efforts to expand their reach into other sectors. A&D has always been big and CPG, medical devices, and high-tech and electronics have definitely come on in a big way over the last few years. Ship building is another area many of the vendors are touting.
Here's another example of how big PLM is in the automotive industry. When I attended a recent PLM user conference, I remarked to a Siemens PLM executive that there seems to be a big emphasis on the automotive industry. He seemed a bit defensive and asked what gave me that idea. I pointed out that about 65 percent of the attendee nametags showed Michigan as the attendee's location.
New versions of BASF's Ecovio line are both compostable and designed for either injection molding or thermoforming. These combinations are becoming more common for the single-use bioplastics used in food service and food packaging applications, but are still not widely available.
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 radio show will show what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.