Advanced inventory planning for humanitarian and disaster relief AIDS

Bayan Hamdan, Pingfeng Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Inventory planning has traditionally been modeled with the main objective of minimizing supply chain operational costs. However, in the context of humanitarian aid for disaster relief, it becomes vital to simultaneously manage the supply of food products, medical equipment as well as clothes and personal supplies, whilst minimizing the expected delivery time. The quantity of resources available is as important as the delivery time, especially in cases of extreme disasters. Additionally, since warehouse space is limited, there exists a tradeoff when determining the inventory quantities of each product class. This paper presents a two-stage multi-objective stochastic programming model to account for the different disaster scenarios that could occur for demand at different locations as well as possible warehouse disturbances. The presented model considers different penalties of having a shortage of each product class and the perishability of some of the products, aiming to minimize the penalized shortage of each product class as well as the expected delivery time and storage costs. The importance of considering a single integrated model for all product classes is analyzed with respect to available warehouse capacities. Finally, different techniques are also investigated for solving the presented model and case studies are used to demonstrate the efficacy.

Original languageEnglish (US)
Title of host publicationIISE Annual Conference and Expo 2019
PublisherInstitute of Industrial and Systems Engineers, IISE
ISBN (Electronic)9781713814092
StatePublished - 2019
Event2019 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2019 - Orlando, United States
Duration: May 18 2019May 21 2019

Publication series

NameIISE Annual Conference and Expo 2019

Conference

Conference2019 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2019
CountryUnited States
CityOrlando
Period5/18/195/21/19

Keywords

  • Disaster Relief
  • Inventory Planning
  • Stochastic Optimization
  • Supply Chain
  • Uncertainty

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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