Schoepflin, DanielDanielSchoepflinKoch, JulianJulianKochGomse, MartinMartinGomseSchüppstuhl, ThorstenThorstenSchüppstuhl2021-12-072021-12-072021-11-03Procedia Manufacturing 55 : 455-462 (2021)http://hdl.handle.net/11420/11196Despite recent advantages, internal logistics for aircraft production is mainly performed manually. Missing or wrongfully loaded components can cause costly delays. Transforming delivery units into smart participants of a digitalized logistic chain has the potential to avoid such delays. In the scope of this work, we present a concept of a smart delivery unit for use in intralogistic processes on aircraft production sites. Its main functionality, the detection of loaded components and material, handles a high variety of identification principles that are defined by pre-existing processes. We therefore conceptualize smart sensor boards. Through a novel modularity structure, demand-driven equipment of these boards with different sensor types can be achieved. This includes AI-based, visual detection of components on delivery units. We display the versatility of our concept with a practical implementation based on low-cost sensors and demonstrate how our approach leads to demand-driven delivery units.en2351-97892021455462Elsevierhttps://creativecommons.org/licenses/by-nc-nd/4.0/Smart Delivery UnitProduction Supplying LogisticsAircraft ProductionIndustry 4.0IngenieurwissenschaftenConference Paper10.15480/882.398110.1016/j.promfg.2021.10.06210.15480/882.3981Conference Paper