Research Article
A Multi-product Stochastic Programming Model for Supplier Selection in a Humanitarian Relief Chain
142 downloads
@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
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.
Copyright © 2020–2024 ICST
