Brokering Additive Manufacturing
Brokering Additive Manufacturing
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 --
中文摘要
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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)
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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
DOI:
10.14733/cadconfp.2022.134-139
发表时间:
2022
期刊:
影响因子:
--
作者:
[Cox C]
通讯作者:
Cox C
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