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.
MIT President Rafael Reif convened the MIT Task Force on the Work of the Future in the spring of 2018. Its goals are to understand the relationships between emerging technologies and work, and to explore strategies to enable a future of shared prosperity. This report will not provide definitive answers, but instead aims to enable decision-makers to ask the right questions.
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.
This report is the result of a collaboration between members of the World Economic Forum Council on Advanced Manufacturing and Production. It summarizes the main findings of work conducted on the application of advanced manufacturing and digital technologies on future production and supply-chain models. The applications set out in this paper highlight the importance of collaborations across supply-chain.
In this article, Deloitte discusses how smart factory initiatives could have a significant impact on manufacturing productivity.
Canadian industry and thought leaders view digitization as a way to enhance the competitiveness of the economy; digitization can also improve the delivery of services such as health care. In order to achieve this vision, new data value chains are needed. Data value chains would allow participants in existing supply chains to share data, gain new insights, solve problems and become more efficient. Standards are required to clarify the roles and responsibilities of participants.
For manufacturing enterprises, the advent of artificial intelligence (AI) will reshape the source of value creation, the formation of new business models, and the delivery of value-added services such as mass customization, predictive maintenance, and “product servitization”. As AI becomes more prevalent in various aspects of business management and operations, investing in people will become even more important.
Much of the research on automation has focused on the potential for job displacement and has taken a national-level view. This report looks beneath the national numbers to examine the present and potential future of work for different people and places across America. Local economies across the country have been on diverging trajectories for years, and they are entering the automation age from different starting points.
Research shows SBIR/STTR grants play a critical role in translating research and development (R&D) into commercially successful companies that would not happen otherwise. SBIR/STTR grants could, in theory, provide critical initial investment for many communities outside the large investment hubs and/or disadvantaged high-tech entrepreneurs who struggle to access private capital. The authors explored the distribution of grant awards from 2005 to 2017 using the SBIR/STTR award database.
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.
The Fourth Industrial Revolution—Industry 4.0—calls into question the very definition of manufacturing, blurring the lines between tangible and intangible, digital and physical, product and service. At its core, Industry 4.0 redefines how manufacturers derive and deliver value. According to BDO’s 2019 Middle Market Industry 4.0 Benchmarking Survey, 99 percent of middle market manufacturing executives today are at least moderately familiar with Industry 4.0.
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 analyzes AI’s likely impacts by examining past impacts of technology, including robotics and information technology, on the economy and jobs. It also considers how AI does—and does not—go beyond previous technologies and substitute for human capacities and intelligence.
Many companies are piloting Fourth Industrial Revolution initiatives in manufacturing, but few have managed to integrate Fourth Industrial Revolution technologies at scale to realize significant economic and financial benefits. The World Economic Forum, in collaboration with McKinsey & Company, scanned more than 1,000 leading manufacturers. Subsequent outreach enabled visits to the most advanced sites and identification of the few factories that are true guiding lights.