Responsive Additive Manufacture to Overcome Natural and Attack-based disruption (RAMONA)
Responsive Additive Manufacture to Overcome Natural and Attack-based disruption (RAMONA)
批准号:
EP/V051040/1
负责人:
Gregory Gibbons
金额:
$130.49万
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:
未结题
起止时间:
2021 至 --
中文摘要
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英文摘要
Disruption resilient manufacturing is becoming increasingly important, with the current COVID-19 pandemic bringing this to the fore. Whilst COVID-19 was a natural disaster, the increasing digitisation of supply chains and manufacturing processes means further widespread challenges with respect to malicious activity and cyber attacks that can cause significant disruption. Whilst the news suggests many of these take place on digital platforms or within financial or health institutions, there is growing evidence that cyber-physical systems, such as manufacturing, are becoming more regularly targeted and therefore subject to disruption. For instance, a recent Cisco (2017) report found that 28% of manufacturers across 13 countries suffered cyber-attacks that resulted in revenue loss, with this set to increase as digitisation of the manufacturing industry increases. Therefore, it is crucial to identify methods of both securing against and reconfiguring if needed the point of production within the supply network should a string within the supply network become compromised. This research focuses specifically on additive manufacturing supply chains as part of a responsive manufacturing system, to address the significant security challenges within manufacturing supply chains to ensure greater levels of supply chain resilience for both UK and global manufacturing. In particular, this would address the call from Additive Manufacturing UKs (2017) UK National Strategy Report for AM, where they highlighted a critical challenge is to address security related challenges in AM production, with the importance of this increasing if production is to be distributed and responsive to emergent changes within the system, such as an adversary infiltrating elements of the supply chain.To support such rapid reconfiguration of the manufacturing system across the supply network, our vision is to create a practicable methodology for manufacturing systems that can detect a threat and reconfigure themselves rapidly in the presence of an adversary. The work packages developed as part of this research further address the critical challenges outlined above and underpin our vision through the development of 'double lock' system, of physical hash on the product and digital hash on component files secured against a distributed ledger technology, that can be scaled across and tailored to different SC configurations, allowing manufacturing to be responsive to disruption and enable greater resilience and agility in UK manufacturing SCs. This proposal also considers both the current state of the art in academic research, and the fundamental needs and applied research from industry. This research is transformative as it meets the twin hurdle of academic rigour and industrial relevance. To create tools and techniques for resilient additive manufacturing this research will address the following challenges:- How to develop effective techniques to detect disruption;- How to effectively and accurately analyse the disruption; and- How to respond to disruption through reconfigured manufacture.
期刊论文(5)
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科研奖励(0)
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A novel intelligence and information acquisition system for managing indicators of compromise in distributed responsive manufacturing systems
一种新颖的情报和信息获取系统,用于管理分布式响应制造系统中的妥协指标
DOI:
10.1049/icp.2023.2600
发表时间:
2023
期刊:
影响因子:
--
作者:
[Kumar M]
通讯作者:
Kumar M
Designing resilient and energy-efficient additive manufacturing enabled supply chains
设计弹性且节能的增材制造供应链
DOI:
10.1049/icp.2023.2557
发表时间:
2023
期刊:
影响因子:
--
作者:
[Abdolreza R]
通讯作者:
Abdolreza R
Applied Cryptography and Network Security Workshops - ACNS 2023 Satellite Workshops, ADSC, AIBlock, AIHWS, AIoTS, CIMSS, Cloud S&P, SCI, SecMT, SiMLA, Kyoto, Japan, June 19-22, 2023, Proceedings
应用密码学和网络安全研讨会 - ACNS 2023 卫星研讨会、ADSC、AIBlock、AIHWS、AIoTS、CIMSS、Cloud S
DOI:
10.1007/978-3-031-41181-6_18
发表时间:
2023
期刊:
影响因子:
--
作者:
[Kumar M]
通讯作者:
Kumar M
DOI:
10.1016/j.addma.2023.103403
发表时间:
2023-01-10
期刊:
ADDITIVE MANUFACTURING
影响因子:
11
作者:
[Cox, James R., Kipling, Isabelle, Gibbons, Gregory J.]
通讯作者:
Gibbons, Gregory J.
The impact of Industry 4.0 technologies on the resilience of established cross- border supply chains
工业 4.0 技术对现有跨境供应链弹性的影响
DOI:
10.1108/scm-07-2023-0333
发表时间:
2024
期刊:
An International Journal
影响因子:
--
作者:
[Brookbanks M]
通讯作者:
Brookbanks M
Rapid-PROTOtyping-compatible, soft-micro-mould-tooled MANufacturing process chain
-
批准号:EP/Z001005/1
-
项目类别:Fellowship
-
资助金额:$41.28万
-
财政年份:2024
-
负责人:Gregory Gibbons
-
依托单位:
Wideband Low-Cost Smart Passive and Active Integrated Antennas for THz Wireless Communications
-
批准号:EP/P015905/1
-
项目类别:Research Grant
-
资助金额:$17.06万
-
财政年份:2017
-
负责人:Gregory Gibbons
-
依托单位:
海外基金