Open AccessOptimizing Humanitarian Relief Operations with Transloads
Author(s) -
Kevin Guadagno,
Kevin Saval,
Quinn Van Drew,
Sophie Vasiliadis,
Philip Cho,
Jesse Pietz
Publication year - 2015
Publication title -
industrial and systems engineering review
Language(s) - English
Resource type - Journals
ISSN - 2329-0188
DOI - 10.37266/iser.2015v3i2.pp98-106
Subject(s) - routing (electronic design automation) , operations research , emergency management , natural disaster , integer programming , heuristic , humanitarian aid , flexibility (engineering) , schedule , computer science , emergency relief , operations management , engineering , political science , geography , computer network , meteorology , artificial intelligence , management , economics , law , algorithm , operating system
The 2010 earthquake in Haiti caused nearly 112,000 fatalities making it one of the deadliest natural disasters ever recorded in the western hemisphere. In the weeks following the disaster, the United States Air Force Air Mobility Command moved over 29,000 passengers and 18,000 tons of relief aid in support of the relief effort, Operation Unified Response. During the first 96 hours of the operation 59% of aircraft transporting relief aid to Haiti arrived late. In order to assist planners in responding to future disaster relief efforts, we introduce a mixed integer programming (MIP) model that reduces the time required to deliver available relief aid into Haiti. The aircraft routing schedule outputted by the model demonstrates that our optimized airlift network increases the amount of relief aid delivered in the first 96 hours of the operation. Due to issues with the tractability of the MIP, we introduce an aircraft routing heuristic for use in real-world humanitarian relief operations. We show that our heuristic is able to produce similar results to the optimization, provides greater flexibility to account for realistic planning considerations, and solves within seconds.