@josh, 'He received a bachelor of business administration degree from Boise State University in 1982 and an 'honorary' doctorate from Boise State University in 2007.'
this is not impressive at all anyway, is it?
about inotera scandal, you are avoiding the fact that the original micron delegate to tw failed and replaced after xx months. so human error is inexcusable.
@ibm221: don't believe the hype. Appleton "worked" as an operator as a training / hazing / pr stunt. He was in line for an executive job all along.
@rolling: I know for a fact that Inotera was the most profitable fab for Qimonda by a wide margin. Not sure how they could accomplish that with "the worst engineers in TW". Transition of trench fab to stack fab is hard. The equipment mix is all wrong, and the tricks are all different. Transition from trench to stack killed TI DRAM division. Micron had trouble initially with Mannassas fab also, finally turned it into a Flash fab.
@rolling, that sounds like a very large team. I agree that you need the expertise to right a fab, but it should be doable with a much smaller team. They would have to be very experienced and able to train a good workforce. They would not all have to be fluent in the native language, but it would sure help.
I agree that Micron successfully took over fabs in Japan, Singapore and Italy. Obviously cultural problems were solved. That said, one would need ~200-300 qualified engineers/managers to "fix" Inotera. You need that many to have critical mass and implement the changes necessary to right the ship. Micron simply does not have those resources and yes, they need to speak Chinese. Transplants from ID, UT or VA won't do.
One thing interesting about micron is it's CEO who started as a operator and couple of operator VPs.
Yeah right, they are motivated and hardworking, but why won't intel or amd promote one of it's PO to be the CEO?
I guess there is a price to pay here...
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.