Digital twin: revealing potentials of real-time autonomous decisions at a manufacturing company

Julia Feldt*, Thanos Kourouklis, Henning Kontny, Axel Wagenitz

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)
55 Downloads (Pure)

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 languageEnglish
Pages (from-to)185-190
Number of pages6
JournalProcedia CIRP
Volume88
Early online date13 Jun 2020
DOIs
Publication statusE-pub ahead of print - 13 Jun 2020
Event13th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2019 - Naples, Italy
Duration: 17 Jul 201919 Jul 2019

Keywords

  • digital twin
  • real-time scheduling
  • self-adaptive manufacturing

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