为工业测试实验室设计面向过程的数字孪生系统

IF 4.6 3区 管理学 Q1 BUSINESS
Robin Weidlich;Tobias Albrecht;Patrick Derr;Maximilian Röglinger
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引用次数: 0

摘要

近年来,数字孪生作为一种以数字方式表示物理对象的手段,受到了广泛关注。目前,它已被应用于各个领域的规划、监控和决策。数字孪生在制造业得到广泛应用的同时,也为其他流程密集型行业(如测试、检验和校准行业)带来了大有可为的机遇。工业测试实验室面临着成本压力和效率要求等挑战,在一个复杂的社会技术和高度监管的环境中运行。当前的数字化解决方案,如实验室信息管理系统,无法提供全面的数据和流程管理视角,也不完全符合 ISO/IEC 17025 标准,而该标准可确保实验室运营和结果的可信度。本文旨在通过设计科学研究方法,为面向流程的数字实验室孪生系统提出一套设计原则和软件架构,以弥补这些不足。通过专家访谈、原型实施以及在工业实验室环境中的实地研究,对该工具进行了评估。研究结果为在实验室流程管理中设计数字孪生提供了宝贵的见解,为未来的研究和实际应用提供了指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing a Process-Oriented Digital Twin for Industrial Testing Laboratories
Digital twins have gained significant attention in recent years as a means to represent physical objects digitally. It is now applied for planning, monitoring, and decision-making across various domains. While extensively leveraged in manufacturing, digital twins also present promising opportunities in other process-intensive sectors, such as the testing, inspection, and calibration industries. Industrial testing laboratories face challenges such as cost pressures and efficiency demands, operating within a complex socio-technical and highly regulated environment. Current digital solutions, such as laboratory information management systems, fall short of providing a comprehensive data and process management perspective and do not fully comply with the ISO/IEC 17025 standard, which ensures trust in laboratory operations and results. This article aims to address these gaps by proposing a set of design principles and a software architecture for a process-oriented digital lab twin developed through a design science research approach. The artifact is evaluated through expert interviews, a prototypical implementation, and a field study in an industrial laboratory setting. The findings offer valuable insights for designing digital twins in laboratory process management, guiding future research and practical applications.
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来源期刊
IEEE Transactions on Engineering Management
IEEE Transactions on Engineering Management 管理科学-工程:工业
CiteScore
10.30
自引率
19.00%
发文量
604
审稿时长
5.3 months
期刊介绍: Management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.
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