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SCC-IRG Track 2: A Manufacturing-Driven Approach to Advancing Community in Northeast Ohio

SCC-IRG 第 2 轨道：制造业驱动的方法来推进俄亥俄州东北部的社区发展

基本信息

批准号：
2125460
负责人：
Robert Gao
金额：
$ 150万
依托单位：
Case Western Reserve University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-10-01 至 2024-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2125460&HistoricalAwards=false
关键词：
SCC IRG Track Manufacturing Driven

项目摘要

Smart and connected technologies have the potential to dramatically reshape the manufacturing landscape, affecting not only the way products are manufactured but also how the workforce is trained, providing new opportunities for employment and improving the economic viability and sustainability of communities where manufacturing companies reside. The Industrial Internet of Things (IIoT) infrastructure and integration of technologies from AI and Machine Learning is accelerating such changes, while capital investments to engage Small-to-Midsized-Manufacturers (SMMs) with IIoT and Industry 4.0 (I4.0) have remained a daunting task that impacts the economic viability of many communities. This project represents a collaborative effort among academic researchers in engineering, education, and management at two universities, educators in a local community college, community advocates and stakeholders, economic development partners, and local SMMs. The goal is to create a smart and connected community in Northeast Ohio by forging a strategic alliance between the community and SMMs that engage with IIoT technologies. Collectively, research and development efforts will be directed to transforming participating SMMs into “smart” and connected enterprises with enhanced adaptivity, competitiveness, and resilience to new supply chain dynamics. This approach will enhance the competitiveness of the local SMM and at the same time prepare a workforce to meet the challenges of the introduced technology. Such transformation will position the community for economic growth through a “smart and connected” local industrial base and upskilled workforce. The blueprint of this approach will also be transferrable to other communities.The collaborative action plan consists of: (1) use-inspired innovative research, (2) education, workforce training and development, and (3) policy recommendations on community behavior and organizational development. Since effective transformation of manufacturing data to actionable information is key to successful implementation of I4.0 technologies, research on artificial intelligence (AI) for real-time operation monitoring and asset tracking will be conducted to improve quality control and productivity. Through process-embedded sensing, and edge- and cloud-computing, a customized learning and intervention platform will be created to facilitate digital transformation of the workforce from experience-based operation to data-guided optimization. Research on transfer learning will facilitate knowledge translation across machine equipment both within an SMM and to other SMMs across the organizational boundaries to create “spill-over” learning effects that promote the creation of a collaborative SMM network that assists each other in times of need and opportunity. Collaborations between academia and community developers will create pathways for curriculum development and internships that facilitate workforce training and employment opportunities. Ultimately, the collective action plan will promote research on both fundamental and practical problems, and benefit education, workforce development, and economic advancement in both Northeast Ohio and other regions across the country where SMMs play a critical role in the wealth generation and wellbeing of the community.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

智能和互联技术有可能极大地重塑制造业格局，不仅影响产品的制造方式，还影响劳动力的培训方式，提供新的就业机会，提高制造公司所在社区的经济可行性和可持续性。工业物联网（IIoT）基础设施以及人工智能和机器学习技术的集成正在加速这种变化，而让中小型制造商（SMM）参与IIoT和工业4.0（I4.0）的资本投资仍然是一项艰巨的任务，影响了许多社区的经济可行性。该项目代表了两所大学的工程，教育和管理学术研究人员，当地社区学院的教育工作者，社区倡导者和利益相关者，经济发展合作伙伴和当地SMM之间的合作努力。其目标是通过在社区与参与IIoT技术的SMM之间建立战略联盟，在俄亥俄州东北部创建一个智能互联的社区。总的来说，研发工作将致力于将参与的SMM转变为“智能”和互联的企业，增强适应性，竞争力和对新供应链动态的适应能力。这种方法将提高当地SMM的竞争力，同时为迎接引进技术的挑战准备一支劳动力队伍。这种转型将通过“智能和互联”的本地工业基础和高技能劳动力为社区经济增长做好准备。这一方法的蓝图也将被转移到其他社区。合作行动计划包括：（1）以使用为灵感的创新研究，（2）教育，劳动力培训和发展，以及（3）社区行为和组织发展的政策建议。由于有效地将制造数据转换为可操作的信息是成功实施I4.0技术的关键，因此将开展人工智能（AI）实时操作监控和资产跟踪的研究，以提高质量控制和生产率。通过流程嵌入式传感以及边缘和云计算，将创建一个定制的学习和干预平台，以促进劳动力从基于经验的操作到数据指导的优化的数字化转型。对迁移学习的研究将促进知识在SMM内部和组织边界上的其他SMM之间的机器设备上的翻译，以创造“溢出”学习效应，促进创建一个协作的SMM网络，在需要和机会的时候互相帮助。学术界和社区开发人员之间的合作将为课程开发和实习创造途径，促进劳动力培训和就业机会。最终，集体行动计划将促进对基本问题和实际问题的研究，并有利于教育、劳动力发展，在俄亥俄州东北部和全国其他地区，SMM在创造财富和社区福祉方面发挥着关键作用。该奖项反映了NSF的法定使命，并通过使用基金会的知识产权进行评估，被认为值得支持。优点和更广泛的影响审查标准。