Article: A stochastic mixed-integer model to support foodbank resources prepositioning during the prelude to a natural disaster Journal: European Journal of Industrial Engineering (EJIE) 2023 Vol.17 No.3 pp.460 - 477 Abstract: A key strategic issue in pre-disaster planning for humanitarian logistics is the pre-establishment of adequate capacity and resources that enable efficient relief operations. Foodbanks must review their decisions and replan their activities upon the arrival of catastrophic events, such as earthquakes or floods. With the aim to support managers in the adaptation of their network and preparedness decisions during the prelude to the event, this paper presents a scenario-based stochastic mixed-integer optimisation formulation that aims to minimise the maximum amount of unfulfilled relief needs considering uncertainty both on the demand as well as on the availability of the infrastructure. The formulation was applied to the case of hurricane Odile that struck the Baja California Peninsula, Mexico, in 2014. Numerical experiments demonstrate that the solution reached by the proposed mathematical formulation improved the actual decisions that were made during the event. Further comparisons and analyses are presented. [Submitted: 19 October 2021; Accepted: 24 February 2022] Inderscience Publishers - linking academia, business and industry through research

Title: A stochastic mixed-integer model to support foodbank resources prepositioning during the prelude to a natural disaster

Authors: Adrian F. Rivera; Neale R. Smith; Esteban Ogazon; Angel Ruiz

Addresses: Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Eugenio Garza Sada 2501, 64849 Monterrey, NL, Mexico ' Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Eugenio Garza Sada 2501, 64849 Monterrey, NL, Mexico ' Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Eugenio Garza Sada 2501, 64849 Monterrey, NL, Mexico ' CIRRELT and Faculté des sciences de l'administration, Université Laval, 2325, Rue de la Terrasse Local 2644, G1V 0A6 Quebec City, Quebec, Canada

Abstract: A key strategic issue in pre-disaster planning for humanitarian logistics is the pre-establishment of adequate capacity and resources that enable efficient relief operations. Foodbanks must review their decisions and replan their activities upon the arrival of catastrophic events, such as earthquakes or floods. With the aim to support managers in the adaptation of their network and preparedness decisions during the prelude to the event, this paper presents a scenario-based stochastic mixed-integer optimisation formulation that aims to minimise the maximum amount of unfulfilled relief needs considering uncertainty both on the demand as well as on the availability of the infrastructure. The formulation was applied to the case of hurricane Odile that struck the Baja California Peninsula, Mexico, in 2014. Numerical experiments demonstrate that the solution reached by the proposed mathematical formulation improved the actual decisions that were made during the event. Further comparisons and analyses are presented. [Submitted: 19 October 2021; Accepted: 24 February 2022]

Keywords: humanitarian logistics; HL; foodbanks; natural disasters; optimisation; scenarios; stochastic.

DOI: 10.1504/EJIE.2023.130596

European Journal of Industrial Engineering, 2023 Vol.17 No.3, pp.460 - 477

Received: 19 Oct 2021
Accepted: 24 Feb 2022
Published online: 01 May 2023 *

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Title: A stochastic mixed-integer model to support foodbank resources prepositioning during the prelude to a natural disaster

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