课题基金 / 基金详情

Brokering Additive Manufacturing

Brokering Additive Manufacturing
经纪增材制造
批准号:
EP/V05113X/1
负责人:
James Gopsill
金额:
$96.71万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2021
资助国家:
英国
项目状态:
已结题
起止时间:
2021 至 --

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
社会正在推动对响应式制造的需求,并要求基础研究提出能够补充现有现代制造实践(MPP)的策略(例如,批量、批量和准时制)。驱动因素之一是大需求,它涉及需求的反应、数量、种类和地点,这些需求来自大规模事件,如新冠肺炎、英国退欧、灾难应对、全球金融危机和战争,以及大规模定制/定制产品,如汽车生产线和供应链,因为它们已针对特定产品进行了优化。驱动程序2正在适应动态生产限制。新冠肺炎对社会距离和分级制度以及贸易争端(英国退欧和美国诉中国案)的衡量表明,MPP可以多么迅速地被切断,从而显著减少对社会的供应。驱动程序3正在促进制造独立。该公司使大型发达国家--美国、中国、欧盟、日本、韩国、印度--能够提供较小发达国家(如英国、瑞士)和发展中国家无法获得的生产能力。然而,许多社会将制造业独立视为一种战略目标(例如,回流),特别是考虑到动因1和动因2,在这些动因1和动因2中,一个国家依赖其他国家的制造能力使它们变得脆弱,没有能力满足自己的国家需求。经纪添加制造(BAM)将证明,如果能够有效地进行中介,可以通过一个国家高度分散和多样化的附加制造(AM)能力来满足这些动因。BAM汇集了土木、机械和航空航天工程与商业管理学院的世界领先的研究人员,AM行业(GTMA、AMUG、AT 3D Squared)和基于模型的系统工程(CFMS)的300多家领先企业,以及行业/政府倡议(Reshors UK),以创建高度分散和多样化的制造系统的新型中介。BAM的跨学科方法将使团队:1.描述大需求、动态生产限制以及地方、地区、国家和全球背景,以促进独立性。2.制定商业模式和政府政策。3.表征AM的能力。4.创建BAM的生产系统边界条件模型和基于代理的模型,在社区、区域、国家和国际范围内模拟人和机器对工作的撮合。BAM解决方案将通过受控实验室实验、现场实验室和开发行业演示程序进行评估。这些解决方案将催生一类新的生产系统,以协调高度分散和多样化的制造能力(例如AM)。这将为未来的工厂奠定基础,这些工厂不仅限于单一的工厂,而且与它们所拥有的制造能力一样多样化和分散,使社会生产发生革命性变化,使其具有更大的灵活性和响应能力,以满足我们未来的需求。
英文摘要
Society is driving the need for Responsive Manufacturing and requires fundamental research to come-up with strategies that can complement existing Modern Manufacturing Practice (MPP) (e.g. batch, mass and just-in-time). Driver 1 is Big Demand, which concerns the response, volume, variety and location in demand, arising from large-scale events, such as COVID-19, Brexit, Disaster Response, Global Financial Crisis and War, and mass-customisation/bespoke products simply cannot be met by MPP, such as automotive production lines and supply chains, as they have been optimised for particular products. Driver 2 is accommodating dynamic production constraints. COVID-19's measures of social distancing and tiering system as well as trade disputes (Brexit and America vs. China) have shown how quickly MPP can be severed, significantly reducing supply to society. Driver 3 is facilitating manufacturing independence. MMP has enabled large developed nations - America, China, EU, Japan, South Korea, India - to provide production capability that developed smaller (e.g. UK, Switzerland) and developing nations would not have had access to. However, many society's view manufacturing independence as a strategic goal (e.g. Reshoring) especially in light of Drivers 1 & 2 where a nations reliance on other nations' manufacturing capability leaves them vulnerable and without the capability to combat their national needs.Brokered Additive Manufacturing (BAM) will prove that these drivers can be met through a nation's highly distributed and diverse Additive Manufacturing (AM) capability if it can be effectively brokered. BAM brings together world-leading researchers from the Schools of Civil, Mechanical and Aerospace engineering and Business Management, 300+ leaders in the AM industry (GTMA, AMUG, AT 3D Squared) and Model-Based Systems Engineering (CFMS), and industry/government initiatives (Reshoring UK) to create novel brokering of highly distributed and diverse manufacturing systems. BAM's transdisciplinary approach will see the team: 1. profile Big Demand, dynamic production constraints and local, regional, national and global contexts to facilitate independence. 2. develop Business Models and Government Policy. 3. characterise AM capability. 4. create Production System boundary condition models and agent-based models of BAM that simulate both human and machine brokering of jobs at community, regional, national and international scales. BAM solutions will be evaluated through controlled lab experiments, living labs and development of industry demonstrators. The solutions will give rise to a new class of production system that broker highly distributed and diverse manufacturing capability (e.g. AM). This will underpin factories of the future that are not confined to single facilities but are as diverse and distributed as the manufacturing capability they house, revolutionising society's production giving it greater flexibility and responsiveness to meet our future needs.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
Design Computing and Cognition'22
设计计算和认知22
DOI: 10.1007/978-3-031-20418-0_43
发表时间: 2023
期刊:
影响因子: --
作者: [Gopsill J]
通讯作者: Gopsill J
DOI: 10.1017/pds.2022.43
发表时间: 2022-05
期刊: Proceedings of the Design Society
影响因子: --
作者: [L. Giunta;J. Gopsill;L. Kent;M. Goudswaard;C. Snider;B. Hicks]
通讯作者: L. Giunta;J. Gopsill;L. Kent;M. Goudswaard;C. Snider;B. Hicks
DOI: 10.1017/s0890060423000239
发表时间: 2024-01-17
期刊: AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING
影响因子: 2.1
作者: [Gopsill,James, Goudswaard,Mark, Hicks,Ben]
通讯作者: Hicks,Ben
Improving Mixed-Reality Prototyping through a Classification and Characterisation of Fidelity
通过保真度的分类和表征改进混合现实原型设计
DOI: 10.1017/pds.2022.37
发表时间: 2022
期刊: Proceedings of the Design Society
影响因子: --
作者: [Cox C]
通讯作者: Cox C
共 10 条
    海外基金