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“地平线2020”数字制造领域影响评估的扩展方法。

An extended approach to impact assessment in the Horizon 2020 digital manufacturing domain.

作者信息

Fair Nicholas, Modafferi Stefano, Gray Briony, Chan Jun, Lelli Francesco

机构信息

IT Innovation, University of Southampton, Southampton, England, UK.

School of Economics and Management, Tilburg University, Tilburg, North Brabant, The Netherlands.

出版信息

Open Res Eur. 2024 Jan 8;4:9. doi: 10.12688/openreseurope.16235.1. eCollection 2024.

DOI:10.12688/openreseurope.16235.1
PMID:38799730
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11128048/
Abstract

This paper presents an extended approach to Impact Assessment (IA) within European Union funded large-scale projects within the manufacturing domain, which may offer value to other research projects and SME organisations seeking to develop detailed organizational reporting. It details the six-phase process that forms the framework for this extended approach, demonstrating how project Outcome Indictors and impact assessment criterion can be aligned through an extensive review and integration of existing impact domains, objectives, measures and evidence sources with project documentation to provide the detailed individual impact assessment criteria for this extended IA approach. It also reports on the application of the approach in the EC-funded digital manufacturing project, European Connected Factory Platform for Agile Manufacturing (EFPF), finding that 24 of the 27 IA criteria were met or exceed, suggesting that the project made an important contribution to the EU Industry4.0 ecosystem through furthering the key priorities of Industrial Leadership, Data Integration, Uptake of New Technologies, Open Science, the Circulation of Knowledge, and a minor contribution to Climate Change Mitigation.

摘要

本文介绍了一种针对欧盟资助的制造业领域大型项目的扩展影响评估(IA)方法,该方法可能会为其他寻求制定详细组织报告的研究项目和中小企业组织提供价值。它详细阐述了构成这种扩展方法框架的六个阶段流程,展示了如何通过广泛审查和整合现有影响领域、目标、措施以及证据来源与项目文档,使项目成果指标和影响评估标准保持一致,从而为这种扩展的影响评估方法提供详细的个体影响评估标准。它还报告了该方法在欧盟资助的数字制造项目“欧洲敏捷制造互联工厂平台”(EFPF)中的应用情况,发现27项影响评估标准中有24项得到满足或超过,这表明该项目通过推进产业领导力、数据集成、新技术应用、开放科学、知识流通等关键优先事项,对欧盟工业4.0生态系统做出了重要贡献,并对气候变化缓解做出了较小贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0226/11128048/c38c30eb8ada/openreseurope-4-17528-g0000.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0226/11128048/c38c30eb8ada/openreseurope-4-17528-g0000.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0226/11128048/c38c30eb8ada/openreseurope-4-17528-g0000.jpg

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本文引用的文献

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