Digital Twin in manufacturing: A categorical literature review and classification

被引：1199
|
作者：
Kritzinger, Werner [1 ]
Karner, Matthias [1 ]
Traar, Georg [1 ]
Henjes, Jan [1 ]
Sihn, Wilfried [1 ]
机构：
[1] Fraunhofer Austria Res GmbH, A-1040 Vienna, Austria
来源：
IFAC PAPERSONLINE | 2018年 / 51卷 / 11期
基金：
欧盟地平线“2020”;
关键词：
Digital Model; Digital Shadow; Digital Twin; Production; Manufacturing; Literature Review; PRODUCTION SYSTEMS; LIFE-CYCLE; SIMULATION; OPTIMIZATION; SUPPORT; INFORMATION; MAINTENANCE; ENTERPRISES; UNIVERSITY; INDUSTRY;
D O I：
10.1016/j.ifacol.2018.08.474
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The Digital Twin (DT) is commonly known as a key enabler for the digital transformation, however, in literature is no common understanding concerning this term. It is used slightly different over the disparate disciplines. The aim of this paper is to provide a categorical literature review of the DT in manufacturing and to classify existing publication according to their level of integration of the DT. Therefore, it is distinct between Digital Model (DM), Digital Shadow (DS) and Digital Twin. The results are showing, that literature concerning the highest development stage, the DT, is scarce, whilst there is more literature about DM and DS. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：1016 / 1022
页数：7
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