Research made public.
Written work from the department's faculty and research centers, synthesizing findings from symposiums, industry collaborations and ongoing projects into papers anyone can read.
February 14, 2026
Bridging the Value Divide: A Decision-Centric Framework for Scalable Industrial AI
The most challenging change in manufacturing since automation first emerged is the advent of artificial intelligence. As AI integrates with every manufacturing ecosystem, global interest has never been higher. However, interest in Industry 4.0 solutions presents a paradox. Despite record investment levels, a large proportion of projects never scale up, reach production, or generate positive ROI before being shut down. The disparity between small-scale experimentation on test pieces/in trials and complete change at an enterprise level remains an underlying structural challenge throughout our current lives.
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