Conference paper Open Access

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

Robert Steringer; Helmut Zörrer; Sebastian Zambal; Christian Eitzinger


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    <subfield code="a">Discrete-event Modeling and Simulation, Zero-Defect Manufacturing, DecisionSupport Systems, Automated Fiber Placement, CFRP Production, Aerospace Engineering,Digital Twin</subfield>
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    <subfield code="d">28-30 August, 2019</subfield>
    <subfield code="g">MIM</subfield>
    <subfield code="a">9th IFAC Conference on Manufacturing Modeling, Management, and Control</subfield>
    <subfield code="c">Berlin, Germany</subfield>
    <subfield code="n">Modeling and Data Analytics for Zero Defect Manufacturing</subfield>
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    <subfield code="u">PROFACTOR GmbH</subfield>
    <subfield code="a">Helmut Zörrer</subfield>
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    <subfield code="u">PROFACTOR GmbH</subfield>
    <subfield code="a">Sebastian Zambal</subfield>
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    <subfield code="a">Christian Eitzinger</subfield>
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    <subfield code="a">Robert Steringer</subfield>
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    <subfield code="a">Using Discrete Event Simulation in multiple System Life Cycles to support Zero-Defect Composite Manufacturing in Aerospace Industry</subfield>
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    <subfield code="c">721362</subfield>
    <subfield code="a">Zero-defect manufacturing of composite parts in the aerospace industry</subfield>
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    <subfield code="a">Other (Non-Commercial)</subfield>
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    <subfield code="a">&lt;p&gt;&lt;strong&gt;Abstract:&lt;/strong&gt; 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.&lt;/p&gt;</subfield>
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