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Using Discrete Event Simulation in multiple System Life Cycles to support Zero-Defect Composite Manufacturing in Aerospace Industry

Authors: Steringer, Robert; Zörrer, Helmut; Zambal, Sebastian; Eitzinger, Christian;

Using Discrete Event Simulation in multiple System Life Cycles to support Zero-Defect Composite Manufacturing in Aerospace Industry

Abstract

Abstract: Time-consuming manual in-situ visual inspections are a big challenge, in the manufacturing process of carbon fibre wing covers in aerospace industry. In the EU research project ZAero (Zero-defect manufacturing of composite parts in the aerospace industry) in-situ manual inspection on fibre placement stations thus shall be replaced by automatic inlineinspection. To quantify the improvements of the suggested process changes, experiment seriesperformed by a discrete event simulation (DES) model were needed to provide necessary keyperformance indicators (KPI). As the new inline inspection detects events and provides a lot ofadditional data for them, the simulation model proved to be very useful to support a decisionsupport system (DSS) to help decision makers in determining which of the events count as defectsand need to be reworked. In our work we show that a DES model, when proper implemented,is as versatile as a Swiss knife and can make valuable contributions to more than one life cycleof a manufacturing system.

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Keywords

Discrete-event Modeling and Simulation, Zero-Defect Manufacturing, DecisionSupport Systems, Automated Fiber Placement, CFRP Production, Aerospace Engineering,Digital Twin

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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