Emerging Opportunities in Distributed Manufacturing: Results and Analysis of an Expert Study

Author:

Daehn GlennORCID,Blue Craig,Johnson-Bey Charles,Lewandowski John J.,Mahoney Tom,Okwudire Chinedum,Rossman Tali,Schmitz Tony,Silveston Rebecca

Abstract

AbstractOver the last few decades, globalization has weakened the US manufacturing sector. The COVID-19 pandemic revealed import dependencies and supply chain shocks that have raised public and private awareness of the need to rebuild domestic production. A range of new technologies, collectively called Industry 4.0, create opportunities to revolutionize domestic and local manufacturing. Success depends on further refinement of those technologies, broad implementation throughout private companies, and concerted efforts to rebuild the industrial commons, the national ecosystem of producers, suppliers, service providers, educators, and workforce necessary to regain a competitive, innovative manufacturing sector. A recent workshop sponsored by the Engineering Research Visioning Alliance (ERVA) identified a range of challenges and opportunities to build a resilient, flexible, scalable, and high-quality manufacturing sector. This paper provides a strategic roadmap for regaining US manufacturing leadership by briefly summarizing discussions at the ERVA-sponsored workshop held in 2023 and providing additional analysis of key technical and economic issues that must be addressed to achieve dynamic, high-value manufacturing in the USA. The focus of this presentation is on discrete manufacturing of production of structural components, a large subset of total manufacturing that produces high-value inputs and finished products for domestic consumption and export.

Funder

National Science Foundation

Publisher

Springer Science and Business Media LLC

Reference59 articles.

1. Engineering Research Visioning Alliance (2024). https://www.ervacommunity.org/

2. Engineering Research Visioning Alliance (2023) Engineering the future of distributed manufacturing: a visioning report. Columbia, SC

3. Daehn GS, Cao J, Lewandowski J et al (2023) Introducing NSF’s HAMMER engineering research center: hybrid autonomous manufacturing moving from evolution to revolution (HAMMER). JOM 75:971–974. https://doi.org/10.1007/s11837-023-05765-y

4. Sundell A (2022) Visualizing countries grouped by their largest trading partner (1960–2020). https://www.visualcapitalist.com/cp/biggest-trade-partner-of-each-country-1960-2020/

5. https://www.bea.gov/data/intl-trade-investment

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3