Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10672934 | CIRP Annals - Manufacturing Technology | 2016 | 4 Pages |
Abstract
The paper describes an approach to a new generation of data management for an interdisciplinary, globally distributed development and continuous reconfiguration of smart products. The proposed solution is flexible, dynamic, has a high semantic content and considers both virtual product models as well as feedback data from the physical product along its whole lifecycle (digital product twin). The implementation of the proposed approach has furthermore been introduced by means of prototyping a SDM integration platform.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Industrial and Manufacturing Engineering
Authors
Michael Abramovici, Jens Christian Göbel, Hoang Bao Dang,