Procedia CIRP · 2017 · 10 citations · 9 references
EngineeringIndustrial EngineeringManufacturing EngineeringManufacturing ProcessesManufacturing SystemsProduction EngineeringComposites ManufacturingManufacturing SimulationManufacturing Systems ArchitectureManufacturing TechnologyProcess EngineeringProduction Data AnalysisComponent ManufacturingManufacturing Process SimulationManufacturing System ModelsManufacturing Systems DesignProcess Chain AnalysisProcess Chain ModellingProduction ProcessesProduction System Modeling
This paper presents model-based methods and algorithms for describing and analyzing complex technological interactions in production process chains for the manufacturing of composite materials and components. The presented holistic approach includes the modeling of the process chain, the construction of suitable designs of experiments, the logging and the collection of experimental and production data, the data analysis, as well as the visualization of analysis results and the deduction of the room of maneuver for production settings. Supported by these methods, the development and the putting into operation of complex process chains will become much more efficient.
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R. L. Plackett, J. P. Burman · Biometrika · 1946 · 3.8K citations
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Verónica Czitrom · The American Statistician · 1999 · 576 citations
Paula Fernandes de Aguiar, Bernard Bourguignon, M. S. Khots et al. · Chemometrics and Intelligent Laboratory Systems · 1995 · 418 citations