Resource management for flood response in Mexico


Emergency logistics is acquiring a crucial role aiming to provide adequate care and support for people affected by catastrophic situations; dealing with a large number of stakeholders, scarcity of resources and high stakes. Considering the importance of balancing resources from different participants to improve operations, this research introduces a bi-criteria response optimisation model aiming to maximise the service provided to disaster victims while making efficient use of resources. The model provides support for relief distribution, inventory management and resource allocation. But beyond the optimisation of logistical decisions, the model is able to determine which organisations to use at the appropriate timeframe, so as to prevent shortages and convergence. The model is applied to a case study on a flood in Mexico in order to compare its results with real activities performed by authorities and draw conclusions.

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Divisions: College of Business and Social Sciences > Aston Business School
College of Business and Social Sciences > Aston Business School > Operations & Information Management
Additional Information: © The Authors, published by EDP Sciences, 2017. This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (
Event Title: 12th International Conference Applied Mathematical Programming and Modelling – APMOD 2016
Event Type: Other
Event Dates: 2016-06-08 - 2016-06-10
ISBN: 2271-2097
Last Modified: 08 Apr 2024 07:37
Date Deposited: 01 Dec 2017 10:40
PURE Output Type: Conference contribution
Published Date: 2017-11-08
Published Online Date: 2017-11-08
Accepted Date: 2017-11-08
Authors: Rodríguez-Espíndola, Oscar (ORCID Profile 0000-0002-4889-1565)
Albores, Pavel (ORCID Profile 0000-0001-7509-9381)
Brewster, Christopher



Version: Published Version

License: Creative Commons Attribution

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