文章基本信息

标题：A Bayesian Network Method for Humanitarian Supply Chain Performance Evaluation
本地全文：下载
作者：Lu Wang ; Yueyu Ding ; Yunfeng Wang 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2022
卷号：55
期号：10
页码：3088-3093
DOI：10.1016/j.ifacol.2022.10.203
语种：English
出版社：Elsevier
摘要：The increasing risk of natural disasters has a direct impact on the survival of the affected people and further seriously jeopardizes the sustainability of the country's economic growth and development. The high volatility of disasters and the skyrocketing demand for relief operations pose enormous challenges to the humanitarian supply chain (HSC). At present, most developing countries lack resilient and effective HSCs. Therefore, in this work, by qualitatively tapping into HSC risk factors, a Bayesian Network (BN) model is developed for quantitatively evaluating the performance of HSC in the context of the rising threat of tropical cyclones in Zimbabwe. The BN model would also further help humanitarian relief organizations to gain some management insights.
关键词：Humanitarian supply chain;Risk factors;Bayesian Network;Performance evaluation