Title: Challenges in Automated Commercial Aircraft Production
Authors: Gehlhoff, Felix 
Nabizada, Hamied 
Weigand, Maximilian 
Beers, Lasse 
Ismail, Omar 
Wenzel, Alexander
Fay, Alexander  
Nyhuis, Peter
Lagutin, Wladislav
Röhrig, Martin
Language: en
Keywords: Aircraft Production;Digital Twin;Model-Based Systems Engineering;Automated Guided Vehicles;Modular Robotics;Production Design
Subject (DDC): DDC::600 Technik, Medizin, angewandte Wissenschaften::620 Ingenieurwissenschaften
Issue Date: Mar-2022
Publisher: Elsevier
IFAC
Document Type: Conference Object
Project: Intelligente modulare Robotik und integrierte Produktionsgestaltung im Flugzeugbau (iMOD) 
Journal / Series / Working Paper (HSU): IFAC-PapersOnLine / Internationale Förderung für Automatische Lenkung 
Volume: 55
Issue: 2
Page Start: 354
Page End: 359
Publisher Place: Frankfurt ; München [u.a.]
Laxenburg
Conference: 14th IFAC Workshop on Intelligent Manufacturing Systems (IMS 2022) 
Abstract: 
Civil Aircraft development and production are facing significant challenges in future. On the one hand, the flight-path to carbon neutral aviation, like using liquid hydrogen, will require game changing technologies. Simultaneously, competition, especially on the single aisle market, is evolving fast and puts pressure on market shares and margins. The necessity of an adaptable and highly efficient production becomes more evident than ever. One contribution to achieve this goal is the research project “Intelligent Modular Robotics and Integrated Production System Design for Aircraft Manufacturing” (iMOD). Namely, it will analyze challenges regarding (1) an integrated and Digital Twin-based system design approach, (2) flexible and modular robotics to support workers with unergonomic tasks and (3) a flexible intralogistics based on Automated Guided Vehicles (AGVs). Those three aspects will be integrated into an approach that uses semantic technologies to connect the different components across different levels of functionality and different life cycle phases.
Description: 
Dieser Konferenzbeitrag hat das Peer-Review-Qualitätssicherungsverfahren durchlaufen.
Organization Units (connected with the publication): Automatisierungstechnik 
DTEC.bw 
URL: https://www.sciencedirect.com/science/article/pii/S2405896322002208
DOI: 10.1016/j.ifacol.2022.04.219
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