CATEGORY: SMART MANUFACTURING
Computers & Chemical Engineering, Available
online 5 July 2012, In Press, Accepted Manuscript
Smart Manufacturing, Manufacturing Intelligence
And Demand-Dynamic Performance
Jim Davis a, Thomas Edgar b, Jim Porter c, John
Bernaden d, Michael S. Sarli e
a UCLA, Los Angeles, CA
b University of Texas–Austin, Austin, TX
c DuPont (retired), Sustainable Operations Solutions, Philadelphia, PA
d Rockwell Automation, Milwaukee, WI
e ExxonMobil Research and Engineering (retired), University of Massachusetts,
Amherst, MA
Abstract
Authors define Smart Manufacturing as the dramatically intensified and
pervasive application of networked information-based technologies throughout
the manufacturing and supply chain enterprise. The defining technical threads
are time, synchronization, integrated performance metrics and
cyber-physical-workforce requirements. Smart Manufacturing responds and leads
to a dramatic and fundamental business transformation to demand-dynamic
economics keyed on customers, partners and the public; enterprise performance
and variability management; real-time integrated computational materials
engineering and rapid qualification, demand-driven supply chain services; and
broad-based workforce involvement.
IT-enabled Smart factories and supply networks
can better respond to national interests and strategic imperatives and can
revitalize the industrial sector by facilitating global competitiveness and
exports, providing sustainable jobs, radically improving performance, and
facilitating manufacturing innovation
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