Hedberg Thomas D, Manas Bajaj, Camelio Jaime A
National Institute of Standards and Technology, Gaithersburg, Maryland 20899.
Intercax, Atlanta, Georgia 30346.
J Comput Inf Sci Eng. 2020;20(1). doi: https://doi.org/10.1115/1.4044921.
Smart manufacturing promises to provide significant increases in productivity and effectiveness of manufacturing systems by better connecting the data from people, processes, and things. However, there is no uniform, generalized method for deploying linked-data concepts to the manufacturing domain. The literature describes and commercial vendors offer centralized data repository solutions, but these types of approaches quickly breakdown under the intense burden of managing and reconciling all the data flowing in and out of the various repositories across the product lifecycle. In this paper, we introduce a method for linking and tracing data throughout the product lifecycle using graphs to form digital threads. We describe a prototype implementation of the method and a case study to demonstrate an information round-trip for a product assembly between the design, manufacturing, and quality domains of the product lifecycle. The expected impact from this novel, standards-based, linked-data method is the ability to use digital threads to provide data, system, and viewpoint interoperability in the deployment of smart manufacturing to realize industry's $30 Billion annual opportunity.
智能制造有望通过更好地连接来自人员、流程和事物的数据，显著提高制造系统的生产率和效率。然而，目前还没有一种统一、通用的方法将链接数据概念应用于制造领域。文献中描述了相关方法，商业供应商也提供了集中式数据存储库解决方案，但在管理和协调产品生命周期中流入和流出各个存储库的所有数据的沉重负担下，这些方法很快就会失效。在本文中，我们介绍了一种使用图形在整个产品生命周期中链接和跟踪数据以形成数字线程的方法。我们描述了该方法的原型实现和一个案例研究，以展示产品生命周期中设计、制造和质量领域之间产品装配的信息往返。这种新颖的、基于标准的链接数据方法预期的影响是，能够利用数字线程在智能制造部署中提供数据、系统和观点的互操作性，以实现行业每年300亿美元的机遇。
