Smart manufacturing depends critically on information governance: rules (formal and informal) concerning the collection, flow, and analysis of information, often in digital form. To explore information governance issues in depth, the Manufacturing Policy Initiative at Indiana University hosted a roundtable event in Washington, DC, with executives from nearly 20 manufacturers. Policy experts from academia were asked to contribute to papers on specific topics including AI in manufacturing.
Smart manufacturing depends critically on information governance: rules (formal and informal) concerning the collection, flow, and analysis of information, often in digital form. To explore information governance issues in depth, the Manufacturing Policy Initiative at Indiana University hosted a roundtable event in Washington, DC, with executives from nearly 20 manufacturers. Policy experts from academia were asked to contribute to papers on specific topics including AI in manufacturing.
This report first defines digital manufacturing technologies. It then assesses the potential productivity and economic benefits smart manufacturing can produce. It next examines the extent of manufacturing digitalization in the U.S. It finds first that data on the topic is sporadic, incomplete, and at this point primarily survey-based. Second, it finds that, for all manufacturing digitalization’s promise, U.S. manufacturers have been particularly slow to adopt digital manufacturing practices.
Focused on addressing the common myths and perceptions about manufacturing and identified the characteristics of successful manufacturers as: innovate constantly to adapt to economic and technological changes; embrace green and green lean; recognize and navigate opportunity in the global value chain; develop and retain current and future talent.