跨越研究与工程鸿沟的桥梁蓝图——系统工程早期研发框架

IF 1 4区 工程技术 Q4 INSTRUMENTS & INSTRUMENTATION Insight Pub Date : 2023-09-27 DOI:10.1002/inst.12452
Ann Hodges, Arno Granados
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引用次数: 0

摘要

研究人员和资助组织通常不了解系统工程在早期项目中的价值(技术准备水平TRL 1-5),在早期项目期间,系统工程可能被视为不必要的成本,并且是一项仅适用于成熟技术的过程繁重的工作。这可能导致相对缺乏工程严谨性和对创新背景的理解,这往往导致基础研究和应用开发之间的“死亡谷”失败。我们认为,跨越死亡之谷的途径不止一条,以适当的严谨程度实施的系统工程的相关应用为技术创新的过渡和使用提供了基础。本文讨论了开发和使用适用于早期研发(ESR&D)的系统工程框架所需的原则和基本要素,包括与TRL和利益相关者角色相关的定制考虑因素。提出了相关的框架指标,以便在技术开发的这一阶段对系统工程创新管理框架进行评估和实际实施。
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A Bridge Blueprint to Span the Chasm Between Research and Engineering — A Framework for Systems Engineering in Early-Stage Research and Development

Researchers and funding organizations often do not understand the value of systems engineering in early-stage projects (technology readiness levels TRL 1-5), during which systems engineering may be viewed as an unnecessary cost, and as a process heavy effort applicable only for mature technologies. This may result in a relative lack of engineering rigor and lack of understanding of innovation context which often contributes to failures in the “valley of death” between fundamental research and applied development.

We argue there is more than one pathway for crossing the valley of death, and that relevant application of systems engineering implemented at an appropriate level of rigor provides a foundation for transition and use of technical innovation. This article discusses the principles and foundational elements necessary for development and use of a framework for systems engineering applicable in early-stage research and development (ESR&D), including tailoring considerations associated with TRL and stakeholder roles. Associated framework metrics are suggested to enable evaluation and practical implementation of the framework for systems engineering innovation management at this phase of technology development.

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来源期刊
Insight
Insight 工程技术-材料科学:表征与测试
CiteScore
1.50
自引率
9.10%
发文量
0
审稿时长
2.8 months
期刊介绍: Official Journal of The British Institute of Non-Destructive Testing - includes original research and devlopment papers, technical and scientific reviews and case studies in the fields of NDT and CM.
期刊最新文献
ISSUE INFORMATION Innovation Ecosystem Dynamics, Value and Learning I: What Can Hamilton Tell Us? Realizing the Promise of Digital Engineering: Planning, Implementing, and Evolving the Ecosystem Requirements Statements Are Transfer Functions: An Insight from Model-Based Systems Engineering Feelings and Physics: Emotional, Psychological, and Other Soft Human Requirements, by Model-Based Systems Engineering
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