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Capturing Real-Time Data in Disaster Response Logistics

Author

Listed:
  • Yagci Sokat, Kezban
  • Zhou, Rui
  • Dolinskaya, Irina S.
  • Smilowitz, Karen
  • Chan, Jennifer

Abstract

No abstract is available for this item.

Suggested Citation

  • Yagci Sokat, Kezban & Zhou, Rui & Dolinskaya, Irina S. & Smilowitz, Karen & Chan, Jennifer, 2016. "Capturing Real-Time Data in Disaster Response Logistics," Journal of Operations and Supply Chain Management (JOSCM), Fundação Getulio Vargas, Escola de Administração de Empresas de São Paulo (FGV EAESP), vol. 9(1), July.
    • Handle: RePEc:ags:jjoscm:289440
    DOI: 10.22004/ag.econ.289440
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    Cited by:

    1. Edwards, Dominiqueca R. & Idoko, Faith O. & Vogiatzis, Chrysafis & Davis, Lauren B. & Mirchandani, Pitu, 2023. "Determining optimal fuel delivery strategies under uncertainty," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    2. Diehlmann, Florian & Klein, Miriam & Wiens, Marcus & Lüttenberg, Markus & Schultmann, Frank, 2020. "On the value of accurate demand information in public-private emergency collaborations," Working Paper Series in Production and Energy 51, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    3. Víctor Ponce-López & Catalina Spataru, 2022. "Social Media Behaviour Analysis in Disaster-Response Messages of Floods and Heat Waves via Artificial Intelligence," Computer and Information Science, Canadian Center of Science and Education, vol. 15(3), pages 1-18, August.
    4. Altay, Nezih & Narayanan, Arunachalam, 2022. "Forecasting in humanitarian operations: Literature review and research needs," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1234-1244.

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