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Deprivation Cost Function Analysis Through Disaster Relief Supply Model

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

The deprivation cost quantifies the suffering of disaster victims owing to the lack of relief supplies. We compare different deprivation functions by considering deprivation costs in the inventory management of disaster relief supplies. For this purpose, we formulate an inventory management model that considers deprivation costs using two-stage stochastic modeling. We then analyze seven deprivation cost functions found in the literature. Finally, the model is empirically validated using a real-world case. The results suggest that the chosen deprivation function can result in a difference of up to 99.9% in the total inventory management cost. When different functions are compared, the service level also has a high amplitude. We conclude that the functions lead to different service levels. As a practical contribution, this study shows that the deprivation cost provides relevant information to the decision-maker about distribution coverage and the operational cost involving disbursement. As an academic contribution, this study compares different deprivation functions and connects academics and practitioners by demonstrating how different formulations of deprivation costs impact the service level of relief items delivered to the population.
Original languageEnglish
Title of host publicationIndustrial Engineering and Operations Management : II. IJCIEOM 2025
EditorsFranceso Facchini, Claudio Sassanelli, Giovanni Mummolo, João Carlos Gonçalves dos Reis
PublisherSpringer
Publication date05.2026
Pages431-443
ISBN (Print)978-3-032-19166-3
ISBN (Electronic)978-3-032-19167-0
DOIs
Publication statusPublished - 05.2026
MoE publication typeA4 Article in conference proceedings

Publication series

Name Springer Proceedings in Mathematics & Statistics
Volume541

Keywords

  • 512 Business and Management
  • deprivation cost
  • inventory management
  • Inventory management mathematical model
  • 111 Mathematics

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