The aim of the research outlined in this paper is to demonstrate the implementation of a Cyber-Physical System (CPS) within the Automotive Industry for the monitoring and control of Returnable Transit Items (RTIs) toward improved quality assurance and process compliance. The socio-technical issues encountered during the real-world implementation are discussed to inform future design Automotive RTI’s are utilised in the transportation of both components and subsequently assembled products at the beginning and end of life stages. The implemented system utilises passive Ultra-High Frequency (UHF) Radio Frequency IDentification (RFID) tags for the identification of metal RTIs via associated plastic separators, whilst a distributed network of RFID portals was integrated within the RTI working environment to capture and characterise their movements. The requirements, design process and resulting architecture are presented alongside the results and lessons learnt from an implementation within the automotive industry. Through the integration of business processes, analytics and tacit domain knowledge, a real-time model of the state of RTIs was developed to support decision making by a range of stakeholders. This research contributes to the knowledge of CPSs requirements identification, design, deployment and the challenges faced within real world asset monitoring and traceability within the automotive industry. Areas for future research to support the next generation of RTI traceability, monitoring and control systems are presented.

本文概述的研究目的是演示汽车工业中的网络物理系统（CPS）的实施，以监视和控制可归还的过境物品（RTI），以提高质量保证和过程合规性。讨论了在现实世界中实施过程中遇到的社会技术问题，以为将来的设计提供参考。汽车RTI在生命周期的开始和结束阶段都用于部件和随后组装产品的运输。实施的系统利用无源超高频（UHF）射频识别（RFID）标签通过相关的塑料分离器识别金属RTI，同时RFID门户的分布式网络集成在RTI工作环境中以捕获并表征其运动。提出了需求，设计过程和生成的体系结构，以及从汽车行业实施中获得的结果和经验教训。通过业务流程，分析和默认领域知识的集成，开发了RTIs状态的实时模型，以支持一系列利益相关者的决策。这项研究有助于了解CPS需求，识别，设计，部署以及汽车行业中现实世界中的资产监控和可追溯性所面临的挑战。介绍了支持下一代RTI可追溯性，监视和控制系统的未来研究领域。通过业务流程，分析和默认领域知识的集成，开发了RTIs状态的实时模型，以支持一系列利益相关者的决策。这项研究有助于了解CPS需求，识别，设计，部署以及汽车行业中现实世界中的资产监控和可追溯性所面临的挑战。介绍了支持下一代RTI可追溯性，监视和控制系统的未来研究领域。通过业务流程，分析和默认领域知识的集成，开发了RTIs状态的实时模型，以支持一系列利益相关者的决策。这项研究有助于了解CPS需求，识别，设计，部署以及汽车行业中现实世界中的资产监控和可追溯性所面临的挑战。介绍了支持下一代RTI可追溯性，监视和控制系统的未来研究领域。部署以及汽车行业在现实世界中资产监控和可追溯性方面面临的挑战。介绍了支持下一代RTI可追溯性，监视和控制系统的未来研究领域。部署以及汽车行业中现实世界中资产监控和可追溯性面临的挑战。介绍了支持下一代RTI可追溯性，监视和控制系统的未来研究领域。