IDEAS home Printed from https://ideas.repec.org/b/zbw/hiclpr/30.html
   My bibliography  Save this book

Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability

Editor

Listed:
  • Jahn, Carlos
  • Kersten, Wolfgang
  • Ringle, Christian M.

Abstract

This volume contains research contributions by an international group of authors addressing innovative and technology-based approaches for logistics and sustainability. They present simulation studies, systems and models for optimizations and digitalized solutions with a focus on maritime as well port and city logistics. This volume, edited by Carlos Jahn, Wolfgang Kersten, and Christian Ringle, provides valuable insights into digital transformation in logistics with regard to: - Maritime Logistics - Port Logistics - City Logistics - Sustainability - Business Analytics

Individual chapters are listed in the "Chapters" tab

Suggested Citation

  • Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), 2020. "Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability," Proceedings of the Hamburg International Conference of Logistics (HICL), Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management, volume 30, number 30.
    • Handle: RePEc:zbw:hiclpr:30
    DOI: 10.15480/882.3101
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/228915/1/hicl-vol-30.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.15480/882.3101?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Chandra Ade Irawan & Graham Wall & Dylan Jones, 2019. "An optimisation model for scheduling the decommissioning of an offshore wind farm," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(2), pages 513-548, June.
    2. Breton, Simon-Philippe & Moe, Geir, 2009. "Status, plans and technologies for offshore wind turbines in Europe and North America," Renewable Energy, Elsevier, vol. 34(3), pages 646-654.
    3. Kerkhove, L.-P. & Vanhoucke, M., 2017. "Optimised scheduling for weather sensitive offshore construction projects," Omega, Elsevier, vol. 66(PA), pages 58-78.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rippel, Daniel & Peng, Shengrui & Lütjen, Michael & Sczcerbicka, Helena & Freitag, Michael, 2020. "Model transformation framework for scheduling offshore logistics," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability. Proceedings of the Hamburg International Conferen, volume 30, pages 521-552, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    2. Rippel, Daniel & Jathe, Nicolas & Lütjen, Michael & Szczerbicka, Helena & Freitag, Michael, 2019. "Integrated domain model for operative offshore installation planning," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Digital Transformation in Maritime and City Logistics: Smart Solutions for Logistics. Proceedings of the Hamburg International Conference of Logistics, volume 28, pages 25-54, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    3. Daniel Rippel & Fatemeh Abasian Foroushani & Michael Lütjen & Michael Freitag, 2021. "A Crew Scheduling Model to Incrementally Optimize Workforce Assignments for Offshore Wind Farm Constructions," Energies, MDPI, vol. 14(21), pages 1-21, October.
    4. Emad Mohamed & Parinaz Jafari & Adam Chehouri & Simaan AbouRizk, 2021. "Simulation-Based Approach for Lookahead Scheduling of Onshore Wind Projects Subject to Weather Risk," Sustainability, MDPI, vol. 13(18), pages 1-27, September.
    5. Mostafaeipour, Ali, 2010. "Productivity and development issues of global wind turbine industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 1048-1058, April.
    6. Albert H. Schrotenboer & Evrim Ursavas & Iris F. A. Vis, 2019. "A Branch-and-Price-and-Cut Algorithm for Resource-Constrained Pickup and Delivery Problems," Transportation Science, INFORMS, vol. 53(4), pages 1001-1022, July.
    7. Hand, Brian & Kelly, Ger & Cashman, Andrew, 2021. "Aerodynamic design and performance parameters of a lift-type vertical axis wind turbine: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    8. Sun, Xiaojing & Huang, Diangui & Wu, Guoqing, 2012. "The current state of offshore wind energy technology development," Energy, Elsevier, vol. 41(1), pages 298-312.
    9. Karimirad, Madjid & Michailides, Constantine, 2015. "V-shaped semisubmersible offshore wind turbine: An alternative concept for offshore wind technology," Renewable Energy, Elsevier, vol. 83(C), pages 126-143.
    10. Dhunny, A.Z. & Timmons, D.S. & Allam, Z. & Lollchund, M.R. & Cunden, T.S.M., 2020. "An economic assessment of near-shore wind farm development using a weather research forecast-based genetic algorithm model," Energy, Elsevier, vol. 201(C).
    11. Lei, Hang & Su, Jie & Bao, Yan & Chen, Yaoran & Han, Zhaolong & Zhou, Dai, 2019. "Investigation of wake characteristics for the offshore floating vertical axis wind turbines in pitch and surge motions of platforms," Energy, Elsevier, vol. 166(C), pages 471-489.
    12. Campbell, Maria S. & Stehfest, Kilian M. & Votier, Stephen C. & Hall-Spencer, Jason M., 2014. "Mapping fisheries for marine spatial planning: Gear-specific vessel monitoring system (VMS), marine conservation and offshore renewable energy," Marine Policy, Elsevier, vol. 45(C), pages 293-300.
    13. Kaldellis, John K. & Zafirakis, D., 2011. "The wind energy (r)evolution: A short review of a long history," Renewable Energy, Elsevier, vol. 36(7), pages 1887-1901.
    14. Deng, Sijia & Liu, Yingyi & Ning, Dezhi, 2023. "Fully coupled aero-hydrodynamic modelling of floating offshore wind turbines in nonlinear waves using a direct time-domain approach," Renewable Energy, Elsevier, vol. 216(C).
    15. Mostafaeipour, Ali, 2010. "Feasibility study of offshore wind turbine installation in Iran compared with the world," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(7), pages 1722-1743, September.
    16. da Costa, Paulo & Verleijsdonk, Peter & Voorberg, Simon & Akcay, Alp & Kapodistria, Stella & van Jaarsveld, Willem & Zhang, Yingqian, 2023. "Policies for the dynamic traveling maintainer problem with alerts," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1141-1152.
    17. Zountouridou, E.I. & Kiokes, G.C. & Chakalis, S. & Georgilakis, P.S. & Hatziargyriou, N.D., 2015. "Offshore floating wind parks in the deep waters of Mediterranean Sea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 433-448.
    18. Orlandini, Valentina & Pierobon, Leonardo & Schløer, Signe & De Pascale, Andrea & Haglind, Fredrik, 2016. "Dynamic performance of a novel offshore power system integrated with a wind farm," Energy, Elsevier, vol. 109(C), pages 236-247.
    19. Hermans, Ben & Leus, Roel & Looy, Bart Van, 2023. "Deciding on scheduling, secrecy, and patenting during the new product development process: The relevance of project planning models," Omega, Elsevier, vol. 116(C).
    20. Gallagher, Sarah & Tiron, Roxana & Whelan, Eoin & Gleeson, Emily & Dias, Frédéric & McGrath, Ray, 2016. "The nearshore wind and wave energy potential of Ireland: A high resolution assessment of availability and accessibility," Renewable Energy, Elsevier, vol. 88(C), pages 494-516.

    Book Chapters

    The following chapters of this book are listed in IDEAS

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:hiclpr:30. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://hicl.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.