The COVID-19 pandemic has had overwhelming impacts on our economy, not to mention the impact on lives and personal wellness. The critical lack of medical equipment to treat and protect those affected highlights the over-reliance of United States manufacturing sector on overseas production. The offshoring issue extends beyond current pandemic concerns, however, reaching far larger and more permanent concerns over industrial supply chains, worker training and even national security.
The 2019 Manufacturing and Logistics National Report shows how each state ranks among its peers in several areas of the economy that underlie the success of manufacturing and logistics. These specific measures include: manufacturing and logistics industry health, human capital, cost of worker benefits, diversification of the industries, state-level productivity and innovation, expected fiscal liability, tax climate, and global reach.
This paper examines the nature and prospects of robotics and associated production technologies, reviews the literature on their impact on spatial dynamics, reviews recent data on robotic adoption, including controlling for robot adoption rates by domestic worker compensation rates, and speculates on future trends in the spatial distribution of manufacturing.
Although today’s U.S. labor market is strong and unemployment is low, many working-age American remain marginalized. As communities across the country grapple with the challenges of an ever-evolving labor market, this report provides a framework for local leaders to grow good jobs through industrial development strategies that are based on their regions’ unique capabilities.
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.