TY - JOUR
T1 - Multicriteria optimization approach to deploy humanitarian logistic operations integrally during floods
AU - Mejia-Argueta, Christopher
AU - Gaytán, Juan
AU - Caballero, Rafael
AU - Molina, Julián
AU - Vitoriano, Begoña
PY - 2018/5/1
Y1 - 2018/5/1
N2 - This paper addresses frequent and foreseeable floods in the short-term preparedness of an imminent event using a multicriteria optimization model integrated with a geographical information system to simulate flood levels, determine the best strategies, and update information. The proposed model takes into account the four main relief operations: location of emergency facilities (i.e., distribution centers, shelters, and meeting points), prepositioning of humanitarian aid, evacuation, and distribution of humanitarian aid. Three criteria are considered in the formulation to minimize: the maximum evacuation flow-time, the maximum distribution flow-time, and total cost of relief operations. The approximation to the efficient frontier is built using multiobjective programming through the use of commercial software. The usefulness and robustness of the model are verified using data from one of the worst Mexican floods considering various flood levels created from three key elements in humanitarian logistics. The strategies provided by the proposed methodology are compared with those implemented by the Mexican authorities during the studied disaster.
AB - This paper addresses frequent and foreseeable floods in the short-term preparedness of an imminent event using a multicriteria optimization model integrated with a geographical information system to simulate flood levels, determine the best strategies, and update information. The proposed model takes into account the four main relief operations: location of emergency facilities (i.e., distribution centers, shelters, and meeting points), prepositioning of humanitarian aid, evacuation, and distribution of humanitarian aid. Three criteria are considered in the formulation to minimize: the maximum evacuation flow-time, the maximum distribution flow-time, and total cost of relief operations. The approximation to the efficient frontier is built using multiobjective programming through the use of commercial software. The usefulness and robustness of the model are verified using data from one of the worst Mexican floods considering various flood levels created from three key elements in humanitarian logistics. The strategies provided by the proposed methodology are compared with those implemented by the Mexican authorities during the studied disaster.
KW - efficient solution
KW - humanitarian operations
KW - multiple-objective programming
KW - weighted-sum method
KW - ε-constraint
UR - http://www.scopus.com/inward/record.url?scp=85040727554&partnerID=8YFLogxK
U2 - 10.1111/itor.12508
DO - 10.1111/itor.12508
M3 - Article
AN - SCOPUS:85040727554
SN - 0969-6016
VL - 25
SP - 1053
EP - 1079
JO - International Transactions in Operational Research
JF - International Transactions in Operational Research
IS - 3
ER -