Digital Toolkit for optimisation of operators and technology in manufacturing partnerships (DigiTOP)
Digital Toolkit for optimisation of operators and technology in manufacturing partnerships (DigiTOP)
批准号:
EP/R032718/1
负责人:
Sarah Sharples
金额:
$242.66万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --
中文摘要
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英文摘要
The manufacturing industry, with the drive towards 'Industrie 4.0', is experiencing a significant shift towards Digital Manufacturing. This increased digitisation and interconnectivity of manufacturing processes is inevitably going to bring substantial change to worker roles and manual tasks by introducing new digital manufacturing technologies (DMT) to shop floor processes. At the same time, the manufacturing workforce is itself also changing - globally and nationally - comprising of an older, more mobile, more culturally diverse and less specialist / skilled labour pool.It may not be enough to simply assume that workers will adopt new roles bestowed upon them; to ensure successful worker acceptance and operational performance of a new system it is important to incorporate user requirements into Digital Manufacturing Technologies design. In the past, Human Factors has shaped the tools used in manufacturing, to make people safe, to make work easy, and to make the workforce more efficient. New approaches to capture and predict the impact of the changes that these new types of technologies, such as robotics, rapidly evolvable workspaces, and data-driven systems are required. These approaches consist of embedded sensor technologies for capture of workplace performance, machine learning and data analytics to synthesise and analyse these data, and new methods of visualisation to support decisions made, potentially in real-time, as to how digital manufacturing workplaces should function. The DigiTOP project will develop the new fundamental knowledge required to reliably and validly capture and predict the performance of a digital manufacturing workplace, integrating the actions and decision of people and technology. It will deliver this knowledge via a Digital Toolkit, which will have three elements: i) Specification of sensor integration and data analytics for performance capture in Digital Manufacturingii) Quantitative analysis of the impact of four industrial Digital Manufacturing use casesiii) Online interactive tool(s) to support manufacturing decision making for implementation of Digital Manufacturing TechnologiesThe DigiTOP project brings together a team with expertise in manufacturing, human factors, robotics and human computer interaction, to develop new methods to capture and predict the impact of Digital Manufacturing on future work. This project will work closely with a range of industry partners, including Jaguar Landrover, BAE Systems, Babcock International and the High Value Manufacturing Catapult to co-create industry-specified use cases to examine. The overall goal of DigiTOP is to produce a toolkit, derived from new fundamental engineering and science knowledge, that will enable industry to increase productivity, support Digital Manufacturing Technology adoption and de-risk the implementation of future Digital Manufacturing Technologies through the consideration of human requirements and capabilities.
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DOI:
10.1109/icmt53429.2021.9687200
发表时间:
2021
期刊:
影响因子:
--
作者:
[Agrawal S]
通讯作者:
Agrawal S
DOI:
10.1016/j.ijhcs.2020.102522
发表时间:
2021-01-01
期刊:
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
影响因子:
5.4
作者:
[Argyle, Elizabeth M., Marinescu, Adrian, Sharples, Sarah]
通讯作者:
Sharples, Sarah
Augmented reality training for improved learnability
增强现实培训可提高可学习性
DOI:
10.1016/j.cirpj.2023.11.003
发表时间:
2024
期刊:
CIRP Journal of Manufacturing Science and Technology
影响因子:
4.8
作者:
[Ariansyah D]
通讯作者:
Ariansyah D
Investigating the Impact of Human in-the-Loop Digital Twin in an Industrial Maintenance Context
研究人在环数字孪生在工业维护环境中的影响
DOI:
10.2139/ssrn.3717797
发表时间:
2020
期刊:
SSRN Electronic Journal
影响因子:
--
作者:
[Al-Yacoubb A]
通讯作者:
Al-Yacoubb A
DOI:
10.1109/etfa46521.2020.9212100
发表时间:
2020-09
期刊:
2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
影响因子:
--
作者:
[Ali Al-Yacoub;A. Buerkle;Myles Flanagan;P. Ferreira;Ella‐Mae Hubbard;N. Lohse]
通讯作者:
Ali Al-Yacoub;A. Buerkle;Myles Flanagan;P. Ferreira;Ella‐Mae Hubbard;N. Lohse
共 7 条
Connected Everything II: Accelerating Digital Manufacturing Research Collaboration and Innovation
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批准号:EP/S036113/1
-
项目类别:Research Grant
-
资助金额:$180.38万
-
财政年份:2019
-
负责人:Sarah Sharples
-
依托单位:
Network Plus: Industrial Systems in the Digital Age
-
批准号:EP/P001246/1
-
项目类别:Research Grant
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资助金额:$127.88万
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财政年份:2016
-
负责人:Sarah Sharples
-
依托单位:
Digital Economy Doctoral Training Network
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批准号:EP/L011891/1
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项目类别:Research Grant
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资助金额:$64.65万
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财政年份:2014
-
负责人:Sarah Sharples
-
依托单位:
海外基金