FW-HTF-P: Design of Tools and Technologies for Industry 4.0 Manufacturing Work

FW-HTF-P:工业 4.0 制造工作的工具和技术设计

基本信息

项目摘要

As information technology has matured, a Fourth Industrial Revolution—often referred to as Industry 4.0—is emerging. Industry 4.0 aims to use technology to integrate design, manufacturing, and consumer activities seamlessly, resulting in increased productivity, reliability and customer satisfaction. However, the process of transitioning to Industry 4.0 can be challenging to both companies and workers. Companies cannot stop operating while their production systems and processes are being updated. Due to the cost of the technology and the need to train the workforce, the transition may need to take place over a period of years. Workers who cannot adapt to the new technologies and processes risk losing their jobs. This project will bring manufacturing industry representatives and researchers together to develop a plan for future research. The research plan will lay the groundwork for development of tools and technologies to make the transition to Industry 4.0 more straightforward and cost-effective for companies and more successful for workers. Examples of possible research topics include road maps for transitioning from conventional manufacturing systems to Industry 4.0 systems; tools for ergonomic design of workstations and assembly lines; cognitive virtual assistants for workers; guidance for human interface design; and automated generation of knowledge and skill “crosswalks” to help companies identify existing skills that will still be needed and new skills that workers need to learn.The proposed planning grant aims to develop a research agenda related to the implementation of Industry 4.0 within the manufacturing industry. The work domain is manufacturing; sub-domains could include smart design, smart machining, smart assembly, smart monitoring, smart control and smart scheduling. The workplace is the factory, which could include production lines, engineering design, and inspection and testing areas. The workers include the engineers and operators who work in these areas. The proposed planning activities will focus on gaining a better understanding of industry needs which, together with a convergent research approach, will lay the groundwork for development of tools and technologies that can enhance the human-technology partnership and augment human performance in Industry 4.0 manufacturing work. Major tasks will include: (1) survey Industry 4.0 manufacturing system development, applications, and constraints; and (2) develop a convergent research agenda in close collaboration with representatives from a variety of manufacturing sectors and researchers with expertise in manufacturing engineering, human factors, human resource development, sociology, and computer science. Intellectual merit: Although Industry 4.0 has many potential benefits, at this time, the process of transitioning from a traditional manufacturing system to an Industrial 4.0 manufacturing system is expensive and fraught with risk to both the company and its workers. The proposed convergent approach will allow scientists to learn from plant technical managers about the operational challenges of implementing Industry 4.0 within their companies. Involving researchers with diverse areas of expertise will provide a richer understanding of the issues and convergent approaches to problem-solving. Broader impacts: Industry 4.0 is projected to add $2.2 trillion to domestic GDP by 2025. The value of the operational transformation to the global manufacturing industry is estimated to be $3.7T/year. To remain competitive, manufacturers need to be able to rapidly adapt to changing markets, which requires having a well-prepared workforce. The proposed planning activities will identify tools and technologies that could be developed to enable successful implementation of Industry 4.0, and thereby enhance work environments, position workers to be successful at their jobs, and increase competitiveness of U.S. companies.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.
随着信息技术的成熟,出现了第四次工业革命,通常称为行业4.0。行业4.0旨在使用技术无缝地整合设计,制造和消费者活动,从而提高生产率,可靠性和客户满意度。但是,过渡到工业4.0的过程可能会对公司和工人构成挑战。公司的生产系统和流程正在更新时,公司无法停止运营。由于技术的成本和培训劳动力的需求,过渡可能需要在几年内进行。无法适应新技术和流程的工人可能会失去工作。该项目将使制造业代表和研究人员聚集在一起,制定未来研究的计划。该研究计划将为开发工具和技术的开发奠定基础,以使对公司的过渡到工业4.0对公司的更直接,更具成本效益,并且对工人更加成功。可能的研究主题的示例包括用于从常规制造系统过渡到行业4.0系统的道路图;工作站和装配线的人体工程学设计工具;工人的认知虚拟助手;人类界面设计指南;以及自动生成的知识和技能“人行横道”,以帮助公司确定仍然需要的现有技能以及工人需要学习的新技能。拟议的计划赠款旨在制定与制造业中行业4.0实施相关的研究议程。工作领域正在制造;子域可能包括智能设计,智能机械,智能组装,智能监控,智能控制和智能调度。工作场所是工厂,其中可能包括生产线,工程设计以及检查和测试区域。工人包括在这些领域工作的工程师和运营商。拟议的计划活动将着重于更好地了解行业需求,这些需求与收敛研究方法一起为开发工具和技术的开发奠定了基础,这些工具和技术可以增强人类技术合作伙伴关系并增强工业4.0制造业中的人类绩效。主要任务将包括:(1)调查行业4.0制造系统开发,应用和约束; (2)与代表各种制造业和具有制造工程,人力因素,人力资源发展,社会学和计算机科学专业知识的研究人员的融合研究议程。智力优点:尽管工业4.0具有许多潜在的好处,但目前,从传统制造系统过渡到工业4.0制造系统的过程昂贵,并且对公司及其工人都有风险。拟议的收敛方法将使科学家能够向工厂技术经理学习有关公司内实施行业4.0的运营挑战。参与专家潜水领域的研究人员将对问题解决问题和融合方法提供更丰富的了解。更广泛的影响:行业4.0预计到2025年将为国内GDP增加2.2万亿美元。全球制造业的运营转型价值估计为3.7吨/年。为了保持竞争力,制造商需要能够迅速适应不断变化的市场,这需要拥有充分的劳动力。拟议的计划活动将确定可以开发的工具和技术,以成功实施行业4.0,从而增强工作环境,职位工人在工作中取得成功并提高美国公司的竞争力。该奖项反映了NSF的法定任务,并通过使用该基金会的知识分子优点和广泛影响来评估NSF的法定任务,并被视为诚实的支持。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
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Preparing the manufacturing workforce for Industry 4.0 technology implementation
为制造业劳动力实施工业 4.0 技术做好准备
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前往

Sheng-Jen Hsieh的其他基金

HSI Implementation and Evaluation Project: Undergraduate Research Experiences in Machine Learning for First Generation Students
HSI 实施和评估项目:第一代学生的机器学习本科研究经验
  • 批准号:
    2345361
    2345361
  • 财政年份:
    2024
  • 资助金额:
    $ 15万
    $ 15万
  • 项目类别:
    Continuing Grant
    Continuing Grant
Technician Training for Industry 4.0 Technologies
工业 4.0 技术技术人员培训
  • 批准号:
    2202201
    2202201
  • 财政年份:
    2022
  • 资助金额:
    $ 15万
    $ 15万
  • 项目类别:
    Standard Grant
    Standard Grant
RET Site: Machine Learning and Smart System Design
RET 网站:机器学习和智能系统设计
  • 批准号:
    2206953
    2206953
  • 财政年份:
    2022
  • 资助金额:
    $ 15万
    $ 15万
  • 项目类别:
    Standard Grant
    Standard Grant
Just-in-Time, Online, Intelligent Tutoring for Automated System Integration: Developing a Problem-Solving Environment that Enhances Student Learning
自动化系统集成的即时、在线、智能辅导:开发一个增强学生学习的解决问题的环境
  • 批准号:
    2044449
    2044449
  • 财政年份:
    2021
  • 资助金额:
    $ 15万
    $ 15万
  • 项目类别:
    Standard Grant
    Standard Grant
RET in Engineering and Computer Science Site: Research Experiences in Mechatronics, Robotics, and Industrial Automation
工程和计算机科学领域的 RET 网站:机电一体化、机器人技术和工业自动化领域的研究经验
  • 批准号:
    1300779
    1300779
  • 财政年份:
    2013
  • 资助金额:
    $ 15万
    $ 15万
  • 项目类别:
    Continuing Grant
    Continuing Grant
Understanding, Supporting, and Creating Curriculum Pathways for Industrial Automation Careers
了解、支持和创建工业自动化职业的课程路径
  • 批准号:
    1304843
    1304843
  • 财政年份:
    2013
  • 资助金额:
    $ 15万
    $ 15万
  • 项目类别:
    Continuing Grant
    Continuing Grant
REU Site: Interdisciplinary Research Experiences in Mechatronics, Robotics, and Automated System Design
REU 网站:机电一体化、机器人技术和自动化系统设计的跨学科研究经验
  • 批准号:
    1263293
    1263293
  • 财政年份:
    2013
  • 资助金额:
    $ 15万
    $ 15万
  • 项目类别:
    Continuing Grant
    Continuing Grant
Portable Kit for Experiential Learning in Programmable Logic Controller Education (PortablePLC)
用于可编程逻辑控制器教育体验式学习的便携式套件 (PortablePLC)
  • 批准号:
    1246072
    1246072
  • 财政年份:
    2013
  • 资助金额:
    $ 15万
    $ 15万
  • 项目类别:
    Standard Grant
    Standard Grant
Collaborative Research: Collaborative Learning Environment for Automated Manufacturing System Integration (CLE-ASI)
协作研究:自动化制造系统集成的协作学习环境(CLE-ASI)
  • 批准号:
    0935211
    0935211
  • 财政年份:
    2009
  • 资助金额:
    $ 15万
    $ 15万
  • 项目类别:
    Standard Grant
    Standard Grant
REU Site for Interdisciplinary Research on Imaging and Biomarkers
REU 影像和生物标志物跨学科研究网站
  • 批准号:
    0851666
    0851666
  • 财政年份:
    2009
  • 资助金额:
    $ 15万
    $ 15万
  • 项目类别:
    Standard Grant
    Standard Grant

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