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  • KIT Scientific Publishing  (3)
  • English  (3)
  • 1
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    Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA) (2021)
    KIT Scientific Publishing
    Details
    Publication Date: 2023-12-20
    Description: The Helmholtz Association funded the ""Large-Scale Data Management and Analysis"" portfolio theme from 2012-2016. Four Helmholtz centres, six universities and another research institution in Germany joined to enable data-intensive science by optimising data life cycles in selected scientific communities. In our Data Life cycle Labs, data experts performed joint R&D together with scientific communities. The Data Services Integration Team focused on generic solutions applied by several communities.
    Keywords: QA75.5-76.95 ; Data Science ; Datenlebenszyklus ; Datenmanagement ; data management ; data analysis ; data science ; Big Data ; Datenanalyse ; data life cycle ; bic Book Industry Communication::U Computing & information technology::UY Computer science
    Language: English
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  • 2
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    Milk Run Design: Definitions, Concepts and Solution Approaches (2021)
    KIT Scientific Publishing
    Details
    Publication Date: 2023-12-21
    Description: Efficient inbound networks in the European automotive industry rely on a set of different transport concepts including milk runs - understood as regularly scheduled pickup tours. The complexity of designing such a mixed network makes decision support necessary: In this book we provide definitions, mathematical models and a solution method for the Milk Run Design problem and introduce indicators assessing the performance of established milk runs in relation to alternative transport concepts.
    Keywords: T1-995 ; Mathematical Optimization ; Supply Chain Management ; Lean Manufacturing ; Mathematische Optimierung ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
    Language: English
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  • 3
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    Mesoscale simulation of the mold filling process of Sheet Molding Compound (2022)
    KIT Scientific Publishing | KIT Scientific Publishing
    Details
    Publication Date: 2024-04-11
    Description: Sheet Molding Compounds (SMC) are discontinuous fiber reinforced composites that are widely applied due to their ability to realize composite parts with long fibers at low cost. A novel Direct Bundle Simulation (DBS) method is proposed in this work to enable a direct simulation at component scale utilizing the observation that fiber bundles often remain in a bundled configuration during SMC compression molding.
    Keywords: Sheet Molding Compound ; Fließpressen ; Prozesssimulation ; CoDiCoFRP ; Compression Molding ; Process simulation ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
    Language: English
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