Computer Science and Health Engineering in Health Services. 4th EAI International Conference, COMPSE 2020, Virtual Event, November 26, 2020, Proceedings

Research Article

A Multi-product Stochastic Programming Model for Supplier Selection in a Humanitarian Relief Chain

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  • @INPROCEEDINGS{10.1007/978-3-030-69839-3_3,
        author={Juan Luis Mej\^{\i}a Miranda and Jania Astrid Mart\^{\i}nez Saucedo},
        title={A Multi-product Stochastic Programming Model for Supplier Selection in a Humanitarian Relief Chain},
        proceedings={Computer Science and Health Engineering in Health Services. 4th EAI International Conference, COMPSE 2020, Virtual Event, November 26, 2020, Proceedings},
        proceedings_a={COMPSE},
        year={2021},
        month={7},
        keywords={Humanitarian logistics Supplier selection Stochastic programming},
        doi={10.1007/978-3-030-69839-3_3}
    }
    
  • Juan Luis Mejía Miranda
    Jania Astrid Martínez Saucedo
    Year: 2021
    A Multi-product Stochastic Programming Model for Supplier Selection in a Humanitarian Relief Chain
    COMPSE
    Springer
    DOI: 10.1007/978-3-030-69839-3_3
Juan Luis Mejía Miranda1, Jania Astrid Martínez Saucedo1
  • 1: Universidad Autónoma de Nuevo León

Abstract

This paper focuses on the supplier selection in a humanitarian relief chain. Considering the negative impact that natural disasters have in society and their environment, the procurement costs could be a challenging issue for humanitarian organizations (HO). Post-disaster procurement and pre-positioning inventory usually carry large costs due to the haste of the situation in the first or the extensive administration in the latter. This work analyzes supplier selection tools proposed in the literature and focuses primarily on the final decision stage where an organization optimizes the purchase of items from a supplier base.