Real-time relief distribution in the aftermath of disasters - A rolling horizon approach

Chung-Cheng Lu, Kuo Ching Ying*, Hui Ju Chen

*Corresponding author for this work

Research output: Contribution to journalArticle

23 Scopus citations

Abstract

This paper presents a rolling horizon-based framework for real-time relief distribution in the aftermath of disasters. This framework consists of two modules. One is a state estimation and prediction module, which predicts relief demands and delivery times. The other is a relief distribution module, which solves for optimal relief distribution flows. The goal is to minimize the total time to deliver relief goods to satisfy the demand, considering uncertain data and of the risk-averse attitude of the decision-maker. A numerical example based on the large-scale earthquake that occurred on September 21, 1999 in Taiwan is presented to demonstrate the system.

Original languageEnglish
Pages (from-to)1-20
Number of pages20
JournalTransportation Research Part E: Logistics and Transportation Review
Volume93
DOIs
StatePublished - 1 Sep 2016

Keywords

  • Disaster operations management
  • Emergency logistics
  • Real-time relief distribution
  • Rolling horizon approach

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