Robin Weidlich;Tobias Albrecht;Patrick Derr;Maximilian Röglinger
{"title":"为工业测试实验室设计面向过程的数字孪生系统","authors":"Robin Weidlich;Tobias Albrecht;Patrick Derr;Maximilian Röglinger","doi":"10.1109/TEM.2024.3481670","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15174-15187"},"PeriodicalIF":4.6000,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Designing a Process-Oriented Digital Twin for Industrial Testing Laboratories\",\"authors\":\"Robin Weidlich;Tobias Albrecht;Patrick Derr;Maximilian Röglinger\",\"doi\":\"10.1109/TEM.2024.3481670\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":55009,\"journal\":{\"name\":\"IEEE Transactions on Engineering Management\",\"volume\":\"71 \",\"pages\":\"15174-15187\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Engineering Management\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10720446/\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Engineering Management","FirstCategoryId":"91","ListUrlMain":"https://ieeexplore.ieee.org/document/10720446/","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
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.
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.