Abstract
Complexity and constant increasing volumes of the data combined with daily disruptions such as changing production capacity and/or new customer orders lead to an expanding number of adjustments of production plans and to boosting stock levels. In order to resolve those issues for a manufacturing company, we created the assembly digital twin i.e. "real-time digital replica" with the ability to update production orders as the reaction to changes in relevant internal and external data. The over two years study demonstrates how a digital twin can be integrated into existing IT architecture and based on simulation modeling quantifies the potentials of the real-time decisions.
Original language | English |
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Pages (from-to) | 185-190 |
Number of pages | 6 |
Journal | Procedia CIRP |
Volume | 88 |
Early online date | 13 Jun 2020 |
DOIs | |
Publication status | E-pub ahead of print - 13 Jun 2020 |
Event | 13th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2019 - Naples, Italy Duration: 17 Jul 2019 → 19 Jul 2019 |
Keywords
- digital twin
- real-time scheduling
- self-adaptive manufacturing