Data-driven Decision Support by Digital Twins in Manufacturing

被引：4
|
作者：
Meierhofer, Jurg [1 ]
West, Shaun [2 ]
机构：
[1] Zurich Univ Appl Sci, Sch Engn, CH-8401 Winterthur, Switzerland
[2] Lucerne Univ Appl Sci & Art, Sch Engn & Architecture, CH-6048 Horw, Switzerland
来源：
2020 7TH SWISS CONFERENCE ON DATA SCIENCE, SDS | 2020年
关键词：
digital twin; data-driven services; decision support; simulation modelling; SERVICE;
D O I：
10.1109/SDS49233.2020.00019
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This conceptual paper addresses the implementation of digital twins to provide decision support services in manufacturing environments. It differentiates the twin among different layers and phases of the equipment lifecycle and integrates different modelling techniques into a systematic decision chain.
引用
收藏
页码：53 / 54
页数：2
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