Helu Moneer, Hedberg Thomas, Feeney Allison Barnard
Engineering Laboratory, National Institute of Standards and Technology (NIST), 100 Bureau Drive, Gaithersburg, MD 20899, USA.
CIRP J Manuf Sci Technol. 2017;19. doi: 10.1016/j.cirpj.2017.04.002.
The increasing growth of digital technologies in manufacturing has provided industry with opportunities to improve its productivity and operations. One such opportunity is the digital thread, which links product lifecycle systems so that shared data may be used to improve design and manufacturing processes. The development of the digital thread has been challenged by the inherent difficulty of aggregating and applying context to data from heterogeneous systems across the product lifecycle. This paper presents a reference four-tiered architecture designed to manage the data generated by manufacturing systems for the digital thread. The architecture provides segregated access to internal and external clients, which protects intellectual property and other sensitive information, and enables the fusion of manufacturing and other product lifecycle data. We have implemented the architecture with a contract manufacturer and used it to generate knowledge and identify performance improvement opportunities that would otherwise be unobservable to a manufacturing decision maker.
数字技术在制造业中的不断发展为工业提供了提高生产率和运营水平的机会。其中一个机会就是数字线程，它将产品生命周期系统连接起来，以便共享数据可用于改进设计和制造流程。数字线程的发展受到了在整个产品生命周期中聚合来自异构系统的数据并将上下文应用于这些数据的固有困难的挑战。本文提出了一种参考性的四层架构，旨在管理为数字线程生成的制造系统数据。该架构为内部和外部客户提供了隔离访问，保护了知识产权和其他敏感信息，并实现了制造数据与其他产品生命周期数据的融合。我们已经与一家合约制造商实施了该架构，并利用它来生成知识和识别性能改进机会，而这些机会对于制造决策者来说可能是无法察觉的。
