Multi-objective optimal planning for designing relief delivery systems

The fatal earthquake on September 21, 1999 caused significant damages to Taiwan, which made the national government focus on strengthening relief systems regarding natural disasters. Disaster prevention, protection, and reconstruction are the major areas of focus to reduce human suffering and damage...

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Published in:Transportation research. Part E, Logistics and transportation review Vol. 43; no. 6; pp. 673 - 686
Main Authors: Tzeng, Gwo-Hshiung, Cheng, Hsin-Jung, Huang, Tsung Dow
Format: Journal Article
Language:English
Published: Exeter Elsevier India Pvt Ltd 01.11.2007
Elsevier
Elsevier Sequoia S.A
Series:Transportation Research Part E: Logistics and Transportation Review
Subjects:
Design
Disaster relief
Distribution planning
Earthquake
Earthquake damage
Earthquake Multi-objective programming Natural disaster Relief distribution Relief systems
Multi-objective programming
Natural disaster
Relief distribution
Relief systems
Studies
Taiwan
Natural disaster
Multi-objective programming
Earthquake
Relief distribution
Relief systems
ISSN:1366-5545, 1878-5794
Online Access:Get full text
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Summary:The fatal earthquake on September 21, 1999 caused significant damages to Taiwan, which made the national government focus on strengthening relief systems regarding natural disasters. Disaster prevention, protection, and reconstruction are the major areas of focus to reduce human suffering and damage from disasters. A key point is the ability to enhance the distribution of relief materials effectively. In this study, we construct a relief-distribution model using the multi-objective programming method for designing relief delivery systems in a real case. The model features three objectives: minimizing the total cost, minimizing the total travel time, and maximizing the minimal satisfaction during the planning period. The first two objectives pursue the efficiency goal, whereas the third pursue fairness – making best effort to ensure relief commodity delivery to all demand points. Results of an empirical study are presented and suggestions are given for future research.
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ISSN:1366-5545
1878-5794
DOI:10.1016/j.tre.2006.10.012