IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v319y2022i1d10.1007_s10479-020-03593-w.html
   My bibliography  Save this article

Management of humanitarian relief operations using satellite big data analytics: the case of Kerala floods

Author

Listed:
  • Narayan Prasad Nagendra

    (Friedrich Alexander University Erlangen-Nuremberg)

  • Gopalakrishnan Narayanamurthy

    (University of Liverpool Management School)

  • Roger Moser

    (Macquarie University)

Abstract

Disasters lead to breakdown of established Information and Communication Technology (ICT) infrastructure. ICT breakdown obstructs the channel to gather real-time last mile information directly from the disaster-stricken communities and thereby hampers the agility of humanitarian supply chains. This creates a complex, chaotic, uncertain, and restrictive environment for humanitarian relief operations, which struggles for credible information to prioritize and deliver effective relief services. In this paper, we discuss how satellite big data analytics built over real-time weather information, geospatial data and deployed over a cloud-computing platform aided in achieving improved coordination and collaboration between rescue teams for humanitarian relief efforts in the case of 2018 Kerala floods. The analytics platform made available to the stakeholders involved in the rescue operations led to timely logistical planning and execution of rescue missions. The developed platform improved the accuracy of information between the distressed community and the stakeholders involved and thereby increased the agility of humanitarian logistics and relief supply chains. This research proves the utility of fusing data sources that are normally sitting as islands of information using big data analytics to prioritize humanitarian relief operations.

Suggested Citation

  • Narayan Prasad Nagendra & Gopalakrishnan Narayanamurthy & Roger Moser, 2022. "Management of humanitarian relief operations using satellite big data analytics: the case of Kerala floods," Annals of Operations Research, Springer, vol. 319(1), pages 885-910, December.
    • Handle: RePEc:spr:annopr:v:319:y:2022:i:1:d:10.1007_s10479-020-03593-w
    DOI: 10.1007/s10479-020-03593-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-020-03593-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10479-020-03593-w?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wang, Gang & Gunasekaran, Angappa & Ngai, Eric W.T. & Papadopoulos, Thanos, 2016. "Big data analytics in logistics and supply chain management: Certain investigations for research and applications," International Journal of Production Economics, Elsevier, vol. 176(C), pages 98-110.
    2. Hughes Amanda Lee & Tapia Andrea H., 2015. "Social Media in Crisis: When Professional Responders Meet Digital Volunteers," Journal of Homeland Security and Emergency Management, De Gruyter, vol. 12(3), pages 679-706, September.
    3. Esposito Amideo, A. & Scaparra, M.P. & Kotiadis, K., 2019. "Optimising shelter location and evacuation routing operations: The critical issues," European Journal of Operational Research, Elsevier, vol. 279(2), pages 279-295.
    4. Nezih Altay & Raktim Pal, 2014. "Information Diffusion among Agents: Implications for Humanitarian Operations," Production and Operations Management, Production and Operations Management Society, vol. 23(6), pages 1015-1027, June.
    5. Andre Zerger & Stephen Wealands, 2004. "Beyond Modelling: Linking Models with GIS for Flood Risk Management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 33(2), pages 191-208, October.
    6. ManMohan S. Sodhi & Christopher S. Tang, 2014. "Buttressing Supply Chains against Floods in Asia for Humanitarian Relief and Economic Recovery," Production and Operations Management, Production and Operations Management Society, vol. 23(6), pages 938-950, June.
    7. Balcik, Burcu & Beamon, Benita M. & Krejci, Caroline C. & Muramatsu, Kyle M. & Ramirez, Magaly, 2010. "Coordination in humanitarian relief chains: Practices, challenges and opportunities," International Journal of Production Economics, Elsevier, vol. 126(1), pages 22-34, July.
    8. Dongwook Kim & Kyungsik Lee & Ilkyeong Moon, 2019. "Stochastic facility location model for drones considering uncertain flight distance," Annals of Operations Research, Springer, vol. 283(1), pages 1283-1302, December.
    9. Sumeet Gupta & B. S. Sahay & Parikshit Charan, 2016. "Relief Network Model for Efficient Disaster Management and Disaster Recovery," Springer Proceedings in Business and Economics, in: B.S. Sahay & Sumeet Gupta & Vinod Chandra Menon (ed.), Managing Humanitarian Logistics, edition 1, chapter 0, pages 85-104, Springer.
    10. Zhang, Y. & Weng, W.G. & Huang, Z.L., 2018. "A scenario-based model for earthquake emergency management effectiveness evaluation," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 197-207.
    11. Özdamar, Linet & Ertem, Mustafa Alp, 2015. "Models, solutions and enabling technologies in humanitarian logistics," European Journal of Operational Research, Elsevier, vol. 244(1), pages 55-65.
    12. Alisa Kongthon & Choochart Haruechaiyasak & Jaruwat Pailai & Sarawoot Kongyoung, 2014. "The Role of Social Media During a Natural Disaster: A Case Study of the 2011 Thai Flood," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 11(03), pages 1-12.
    13. Shuihua Han & Hu Huang & Zongwei Luo & Cyril Foropon, 2019. "Harnessing the power of crowdsourcing and Internet of Things in disaster response," Annals of Operations Research, Springer, vol. 283(1), pages 1175-1190, December.
    14. Özlem Ergun & Luyi Gui & Jessica L. Heier Stamm & Pinar Keskinocak & Julie Swann, 2014. "Improving Humanitarian Operations through Technology-Enabled Collaboration," Production and Operations Management, Production and Operations Management Society, vol. 23(6), pages 1002-1014, June.
    15. Jimoh Eniola Olaogbebikan & Richard Oloruntoba, 2019. "Similarities between disaster supply chains and commercial supply chains: a SCM process view," Annals of Operations Research, Springer, vol. 283(1), pages 517-542, December.
    16. Yang, L. & Yang, S.H. & Plotnick, L., 2013. "How the internet of things technology enhances emergency response operations," Technological Forecasting and Social Change, Elsevier, vol. 80(9), pages 1854-1867.
    17. Lee, In, 2017. "Big data: Dimensions, evolution, impacts, and challenges," Business Horizons, Elsevier, vol. 60(3), pages 293-303.
    18. von Krogh, Georg & Spaeth, Sebastian & Lakhani, Karim R., 2003. "Community, joining, and specialization in open source software innovation: a case study," Research Policy, Elsevier, vol. 32(7), pages 1217-1241, July.
    19. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Roubaud, David & Fosso Wamba, Samuel & Giannakis, Mihalis & Foropon, Cyril, 2019. "Big data analytics and organizational culture as complements to swift trust and collaborative performance in the humanitarian supply chain," International Journal of Production Economics, Elsevier, vol. 210(C), pages 120-136.
    20. Sameer Prasad & Rimi Zakaria & Nezih Altay, 2018. "Big data in humanitarian supply chain networks: a resource dependence perspective," Annals of Operations Research, Springer, vol. 270(1), pages 383-413, November.
    21. Akash Sinha & Prabhat Kumar & Nripendra P. Rana & Rubina Islam & Yogesh K. Dwivedi, 2019. "Impact of internet of things (IoT) in disaster management: a task-technology fit perspective," Annals of Operations Research, Springer, vol. 283(1), pages 759-794, December.
    22. Rameshwar Dubey & Sadia Samar Ali & Padmanabha Aital & V.G. Venkatesh, 2014. "Mechanics of humanitarian supply chain agility and resilience and its empirical validation," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 17(4), pages 367-384.
    23. Dorasamy, Magiswary & Raman, Murali & Kaliannan, Maniam, 2013. "Knowledge management systems in support of disasters management: A two decade review," Technological Forecasting and Social Change, Elsevier, vol. 80(9), pages 1834-1853.
    24. Samuel Fosso Wamba & Andrew Edwards & Shahriar Akter, 2019. "Social media adoption and use for improved emergency services operations: the case of the NSW SES," Annals of Operations Research, Springer, vol. 283(1), pages 225-245, December.
    25. Azrah A. Anparasan & Miguel A. Lejeune, 2018. "Data laboratory for supply chain response models during epidemic outbreaks," Annals of Operations Research, Springer, vol. 270(1), pages 53-64, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Vijendra Kumar & Hazi Md. Azamathulla & Kul Vaibhav Sharma & Darshan J. Mehta & Kiran Tota Maharaj, 2023. "The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management," Sustainability, MDPI, vol. 15(13), pages 1-33, July.

    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. Abhishek Behl & Pankaj Dutta, 2019. "Humanitarian supply chain management: a thematic literature review and future directions of research," Annals of Operations Research, Springer, vol. 283(1), pages 1001-1044, December.
    2. Sachin Modgil & Rohit Kumar Singh & Cyril Foropon, 2022. "Quality management in humanitarian operations and disaster relief management: a review and future research directions," Annals of Operations Research, Springer, vol. 319(1), pages 1045-1098, December.
    3. Rodolfo Modrigais Strauss Nunes & Susana Carla Farias Pereira, 2022. "Intellectual structure and trends in the humanitarian operations field," Annals of Operations Research, Springer, vol. 319(1), pages 1099-1157, December.
    4. Rameshwar Dubey & David J. Bryde & Cyril Foropon & Gary Graham & Mihalis Giannakis & Deepa Bhatt Mishra, 2022. "Agility in humanitarian supply chain: an organizational information processing perspective and relational view," Annals of Operations Research, Springer, vol. 319(1), pages 559-579, December.
    5. Pravin Kumar & Rajesh Kr Singh, 2022. "Application of Industry 4.0 technologies for effective coordination in humanitarian supply chains: a strategic approach," Annals of Operations Research, Springer, vol. 319(1), pages 379-411, December.
    6. Samuel Fosso Wamba, 2022. "Humanitarian supply chain: a bibliometric analysis and future research directions," Annals of Operations Research, Springer, vol. 319(1), pages 937-963, December.
    7. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Roubaud, David & Fosso Wamba, Samuel & Giannakis, Mihalis & Foropon, Cyril, 2019. "Big data analytics and organizational culture as complements to swift trust and collaborative performance in the humanitarian supply chain," International Journal of Production Economics, Elsevier, vol. 210(C), pages 120-136.
    8. Jiandong Chen & Ping Wang & Jixian Zhou & Malin Song & Xinyue Zhang, 2022. "Influencing factors and efficiency of funds in humanitarian supply chains: the case of Chinese rural minimum living security funds," Annals of Operations Research, Springer, vol. 319(1), pages 413-438, December.
    9. Hunt, Kyle & Narayanan, Adithya & Zhuang, Jun, 2022. "Blockchain in humanitarian operations management: A review of research and practice," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    10. Abhinav Kumar & Jyoti Prakash Singh & Yogesh K. Dwivedi & Nripendra P. Rana, 2022. "A deep multi-modal neural network for informative Twitter content classification during emergencies," Annals of Operations Research, Springer, vol. 319(1), pages 791-822, December.
    11. Fan Chen & Sen Liu & Andrea Appolloni, 2020. "Horizontal Coordination of I-LNGOs in the Humanitarian Supply Chain: An Evolutionary Game Approach," Sustainability, MDPI, vol. 12(15), pages 1-21, July.
    12. Anne M. Quarshie & Rudolf Leuschner, 2020. "Interorganizational Interaction in Disaster Response Networks: A Government Perspective," Journal of Supply Chain Management, Institute for Supply Management, vol. 56(3), pages 3-25, July.
    13. Mahmud A. Shareef & Yogesh K. Dwivedi & Vinod Kumar & D. Laurie Hughes & Ramakrishnan Raman, 2022. "Sustainable supply chain for disaster management: structural dynamics and disruptive risks," Annals of Operations Research, Springer, vol. 319(1), pages 1451-1475, December.
    14. Iana Shaheen & Arash Azadegan, 2020. "Friends or Colleagues? Communal and Exchange Relationships During stages of Humanitarian Relief," Production and Operations Management, Production and Operations Management Society, vol. 29(12), pages 2828-2850, December.
    15. Jónas Oddur Jónasson & Kamalini Ramdas & Alp Sungu, 2022. "Social impact operations at the global base of the pyramid," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4364-4378, December.
    16. Christian Wankmüller & Gerald Reiner, 2021. "Identifying Challenges and Improvement Approaches for More Efficient Procurement Coordination in Relief Supply Chains," Sustainability, MDPI, vol. 13(4), pages 1-23, February.
    17. Martijn Warnier & Vincent Alkema & Tina Comes & Bartel Walle, 2020. "Humanitarian access, interrupted: dynamic near real-time network analytics and mapping for reaching communities in disaster-affected countries," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(3), pages 815-834, September.
    18. Lea Ruesch & Murat Tarakci & Maria Besiou & Niels Van Quaquebeke, 2022. "Orchestrating coordination among humanitarian organizations," Production and Operations Management, Production and Operations Management Society, vol. 31(5), pages 1977-1996, May.
    19. Lijo John & Anand Gurumurthy & Gunjan Soni & Vipul Jain, 2019. "Modelling the inter-relationship between factors affecting coordination in a humanitarian supply chain: a case of Chennai flood relief," Annals of Operations Research, Springer, vol. 283(1), pages 1227-1258, December.
    20. Ivanov, Dmitry, 2020. "Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).

    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:spr:annopr:v:319:y:2022:i:1:d:10.1007_s10479-020-03593-w. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.