RCN-SEES: Sustainable Manufacturing Advances in Research and Technology (SMART) Coordination Network

RCN-SEES：可持续制造研究与技术进步 (SMART) 协调网络

• 批准号: 1140000
• 负责人: Yinlun Huang
• 金额: $ 72.18万
• 依托单位: Cache Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-01-01 至 2017-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1140000&HistoricalAwards=false
• 关键词: RCN; SEES; Sustainable; Manufacturing; Advances

1140000 (Huang). This award is funded under NSF's Science, Engineering, and Education for Sustainability (SEES) activities, which aim to address challenges of creating a sustainable world. U.S. manufacturing, a key component of national economic development and prosperity, has been greatly challenged by competitive trends over the past decade, as global manufacturing competition has begun to shift towards fast implementation, just-in-time model-based manufacturing, frequent product transitions, and shifting of technical personnel to meet those changing needs. Further burdens are being placed on all industries owing to uncertain energy prices and possible greenhouse gas constraints. Revitalization of U.S. manufacturing is of utmost importance in the national economy. In academia, engineering sustainability, advanced manufacturing theory, alternative energy and biofuels have become very active but relatively disconnected research areas. Research coordination in the academic community and its networking with industries are insufficient and lack depth. To bridge the gap between the academic knowledge discovery and industrial technology innovation for sustainable manufacturing, our multidisciplinary team proposes to create an interdisciplinary, international research coordination network to promote Sustainable Manufacturing Advances in Research and Technology (SMART). SMART reflects the theme of the joint effort among a number of leading academic laboratories, centers, non-government organizations, and major manufacturing industries. During this project, the team will (1) conduct comprehensive and in-depth review of frontier research and technological development for sustainable manufacturing, (2) define the roadmap towards manufacturing sustainability and identify the bottlenecks in a number of focused research areas via several workshops, (3) coordinate research through sharing knowledge, resources, software, and results, (4) establish partnerships with industrial groups to expedite technology introduction, and (5) conduct education and outreach to a wide range of stakeholders. The SMART coordination network (CN) will be further strengthened through collaborating with eight leading research laboratories in seven other countries. Sustainable manufacturing research involves a wide spectrum of areas and disciplines, such as advanced manufacturing, sustainability assessment and decision making, product and process systems engineering, energy and environmental engineering, multiscale complex systems science and engineering, information technology, economics and sociology. The SMART CN will support a new paradigm for manufacturing sustainability and aggregate concerted efforts from multiple research groups with complementary expertise to transform the knowledge base of manufacturing sustainability, and develop a consensus roadmap for future efforts. It is anticipated that success in this endeavor will have a significant impact on industrial efforts in developing sustainable manufacturing technologies. The SMART CN will serve as a starting point for further increasing the diversity of the next generation of researchers, especially under-represented groups, and will have a hub-type website to serve the different communities. The project will also generate a number of case study educational modules for sustainable engineering education that should be widely adoptable for undergraduate/graduate education and professional training in industries.

1140000（黄）。 该奖项由 NSF 可持续发展科学、工程和教育 (SEES) 活动资助，旨在应对创建可持续发展世界的挑战。 美国制造业作为国民经济发展和繁荣的关键组成部分，在过去十年中受到了竞争趋势的巨大挑战，全球制造业竞争开始转向快速实施、准时制模型制造、频繁的产品转换，并转移技术人员以满足这些不断变化的需求。由于能源价格不确定和可能的温室气体排放限制，所有行业都承受着进一步的负担。 振兴美国制造业对于国民经济至关重要。在学术界，工程可持续性、先进制造理论、替代能源和生物燃料已成为非常活跃但相对独立的研究领域。学术界的研究协调以及与产业界的联系还不够、缺乏深度。 为了弥合可持续制造的学术知识发现和工业技术创新之间的差距，我们的多学科团队建议创建一个跨学科的国际研究协调网络，以促进可持续制造研究和技术的进步（SMART）。 SMART体现了众多领先学术实验室、中心、非政府组织和主要制造业共同努力的主题。 在该项目期间，团队将（1）对可持续制造的前沿研究和技术开发进行全面、深入的回顾，（2）通过多个研讨会确定制造可持续发展的路线图并找出多个重点研究领域的瓶颈，(3) 通过共享知识、资源、软件和成果来协调研究，(4) 与工业团体建立合作伙伴关系以加快技术引进，(5) 对广泛的利益相关者进行教育和推广。 SMART协调网络（CN）将通过与其他七个国家的八个领先研究实验室的合作得到进一步加强。可持续制造研究涉及先进制造、可持续性评估与决策、产品与过程系统工程、能源与环境工程、多尺度复杂系统科学与工程、信息技术、经济学和社会学等广泛领域和学科。 SMART CN将支持制造业可持续发展的新范式，并汇集具有互补专业知识的多个研究小组的共同努力，以转变制造业可持续发展的知识库，并为未来的努力制定共识路线图。预计这一努力的成功将对开发可持续制造技术的工业努力产生重大影响。 SMART CN 将作为进一步增加下一代研究人员（特别是代表性不足的群体）多样性的起点，并将拥有一个中心型网站来服务不同的社区。该项目还将产生许多可持续工程教育的案例研究教育模块，这些模块应广泛应用于本科/研究生教育和行业专业培训。