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An analysis of the Cyclone Larry emergency relief chain: Some key success factors

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  • Oloruntoba, Richard

Abstract

The emergency relief chain and overall relief effort of Cyclone Larry in Australia is generally agreed to be one of the more effective in the history of emergency cyclone response in northern Australia. This paper identifies and analyses some key success factors in the emergency relief chain and the overall emergency relief effort of this cyclone disaster. The findings in this paper are based on document analysis and semi-structured discussions with disaster managers relating to the emergency relief chain and cyclone relief management processes undertaken by disaster management agencies. The paper contributes to a growing area of knowledge about emergency relief chains and the management of cyclone response in the context of a developed, Western Asia-Pacific country by improving managerial understanding of the critical ingredients in designing and executing an effective emergency relief chain and overall cyclone response operation.

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  • Oloruntoba, Richard, 2010. "An analysis of the Cyclone Larry emergency relief chain: Some key success factors," International Journal of Production Economics, Elsevier, vol. 126(1), pages 85-101, July.
    • Handle: RePEc:eee:proeco:v:126:y:2010:i:1:p:85-101
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    10. Kunz, Nathan & Reiner, Gerald & Gold, Stefan, 2014. "Investing in disaster management capabilities versus pre-positioning inventory: A new approach to disaster preparedness," International Journal of Production Economics, Elsevier, vol. 157(C), pages 261-272.
    11. Rajak, Sonu & Mathiyazhagan, K. & Agarwal, Vernika & Sivakumar, K. & Kumar, Vikas & Appolloni, Andrea, 2022. "Issues and analysis of critical success factors for the sustainable initiatives in the supply chain during COVID- 19 pandemic outbreak in India: A case study," Research in Transportation Economics, Elsevier, vol. 93(C).
    12. Su, Qiang & Luo, Qinyi & Huang, Samuel H., 2015. "Cost-effective analyses for emergency medical services deployment: A case study in Shanghai," International Journal of Production Economics, Elsevier, vol. 163(C), pages 112-123.
    13. Wohlgemuth, Sascha & Oloruntoba, Richard & Clausen, Uwe, 2012. "Dynamic vehicle routing with anticipation in disaster relief," Socio-Economic Planning Sciences, Elsevier, vol. 46(4), pages 261-271.
    14. Yanbing Ju & Aihua Wang & Tianhui You, 2015. "Emergency alternative evaluation and selection based on ANP, DEMATEL, and TL-TOPSIS," 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. 75(2), pages 347-379, February.
    15. 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.
    16. Mohan, S. & Gopalakrishnan, M. & Mizzi, P.J., 2013. "Improving the efficiency of a non-profit supply chain for the food insecure," International Journal of Production Economics, Elsevier, vol. 143(2), pages 248-255.
    17. Guoyou Yue, 2021. "A Review of the Research on Emergency Logistics for Tropical Cyclone Disasters in Guangxi," GATR Journals gjbssr591, Global Academy of Training and Research (GATR) Enterprise.
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