Today’s manufacturing robots are sophisticated mechatronics systems that require PLM traceability and dependency management to ensure engineers in each design domain to understand the impact of their decisions on other domains.
I can relate to the discussion about the major obstacles of integrating data with multiple vendor's tools across multiple domains. With design cycle times becoming more and more compressed, it is so important to have the right data immediately available at a designer's fingertips. As the article stated, too often it seems that we have to spend excessive time digging up, verifying and converting design data instead of spending more time on the actual design itself. The right PLM tools and system can be very beneficial.
In many engineering workplaces, there’s a generational conflict between recent engineering graduates and older, more experienced engineers. However, a recent study published in the psychology journal Cognition suggests that both may have something to learn from another group: 4 year olds.
Conventional wisdom holds that MIT, Cal Tech, and Stanford are three of the country’s best undergraduate engineering schools. Unfortunately, when conventional wisdom visits the topic of best engineering schools, it too often leaves out some of the most distinguished programs that don’t happen to offer PhD-level degrees.
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