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    Dynamics in Logistics

    Twenty-Five Years of Interdisciplinary Logistics Research in Bremen, Germany

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    Contributor(s)
    Freitag, Michael (editor)
    Kotzab, Herbert (editor)
    Megow, Nicole (editor)
    Language
    English
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    Abstract
    This open access book highlights the interdisciplinary aspects of logistics research. Featuring empirical, methodological, and practice-oriented articles, it addresses the modelling, planning, optimization and control of processes. Chiefly focusing on supply chains, logistics networks, production systems, and systems and facilities for material flows, the respective contributions combine research on classical supply chain management, digitalized business processes, production engineering, electrical engineering, computer science and mathematical optimization. To celebrate 25 years of interdisciplinary and collaborative research conducted at the Bremen Research Cluster for Dynamics in Logistics (LogDynamics), in this book hand-picked experts currently or formerly affiliated with the Cluster provide retrospectives, present cutting-edge research, and outline future research directions.
    URI
    https://library.oapen.org/handle/20.500.12657/51936
    Keywords
    Open Access; Logistics; Operations Management; Operations Research; Dynamics
    DOI
    10.1007/978-3-030-88662-2
    ISBN
    9783030886622, 9783030886622
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Bern, 2021
    Imprint
    Springer International Publishing
    Classification
    Management of specific areas
    Operational research
    Production and industrial engineering
    Purchasing and supply management
    Applied mathematics
    Pages
    324
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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