Digital Threads via Knowledge-Based Engineering Systems

Autor: Andrei Lobov, Eeva Jarvenpaa, Joe David
Přispěvatelé: Balandin, Sergey, Röning, Juha, Shatalova, Tatiana, Tampere University, Automation Technology and Mechanical Engineering
Rok vydání: 2021
Předmět:
Zdroj: FRUCT
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 30, Iss 1, Pp 42-51 (2021)
DOI: 10.23919/fruct53335.2021.9599986
Popis: Digitalization of manufacturing is led by the notion of a digital thread, a framework that allows for integrating authoritative and trustable data of a product throughout its lifecycle. Under the model-based enterprise (MBE) vision, digital three-dimensional (3D) model of a product serve as this authoritative source of information across the product lifecycle. A class of systems called knowledge-based engineering (KBE) systems represents the evolution of knowledge-based systems towards designing these models and this study presents a case for using such systems to realize the digital thread in a model-based enterprise. The paper proposes four directions and potential enabling technologies at the disposal of KBE systems for this purpose are identified. Further, a case study that demonstrates such use of a KBE system to realize the digital thread for a manufacturing assembly process is presented. publishedVersion
Databáze: OpenAIRE