Recommender System Based “Scenario-Response” Types Post-Disaster Emergency Supplies Planning

Gang Kou (), Xin Zhao () and Daji Ergu ()
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Gang Kou: University of Electronic Science and Technology of China
Xin Zhao: University of Electronic Science and Technology of China
Daji Ergu: University of Electronic Science and Technology of China

Chapter Chapter 129 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 1225-1233 from Springer

Abstract: Abstract In recent years, frequent outbreaks of unexpected natural disasters have caused great threats and losses to people’s property and personal safety. Owe to the reality that natural disaster has the characteristics of wide affecting-areas, long duration, different needs of emergency supplies and inadequate rescue resources, it is strongly important to achieve effective planning for limited emergency supplies. The questions of how to ensure that each disaster-affected area gets emergency supplies matched with its losses and all demands of emergency supplies from different disaster areas met have become critical tasks of natural disaster emergency management. Based on the necessity and urgency of the emergency supplies as well as the real-time data of the scenario evolution of the disaster, this paper proposes an algorithm which combines recommender system and social tagging with allocation management to establish “scenario-response” type’s poster-disaster emergency suppliers planning in order to reach higher performance in post-disaster recovery.

Keywords: Group decision making; Post-disaster supplies planning; Recommender system; Scenario-response; Social tagging (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38391-5_129

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DOI: 10.1007/978-3-642-38391-5_129

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