Budget allocation of food procurement for natural disaster response
Budget allocation of food procurement for natural disaster response
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DOI：
10.1016/j.ejor.2023.05.015
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发表时间：
2023-05
期刊：
影响因子：
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通讯作者：
D. Dang;Christine Currie;B. Onggo;D. Chaerani;A. Achmad
中科院分区：
文献类型：
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作者：
D. Dang;Christine Currie;B. Onggo;D. Chaerani;A. Achmad
本文研究了灾害管理中出现的批量问题的一个变种。在这个问题中，必须在多个时间段内有效地分配固定预算，以采购大量的主食，这些主食将被储存起来，然后交付给受灾害影响的人，这些人的人数事先是未知的。从确定性模型，假设完美的信息，不同的配方，以解决不确定性构建：经典的鲁棒优化，风险最小化随机规划，可调鲁棒优化。使用来自印度尼西亚西爪哇的数据进行的实验，使我们能够讨论每种方法的优点和缺点。我们的方法构成了一个工具箱，可以支持决策者做出采购决策并回答管理问题，例如年度预算是公平和安全的，或者存储高峰可能发生的时间。
This paper studies a variant of the lot sizing problem that arises in the context of disaster management. In this problem, a fixed budget has to be allocated efficiently over multiple time periods to procure large quantities of a staple food that will be stored and later delivered to people affected by disaster strikes whose numbers are unknown in advance. Starting from the deterministic model where perfect information is assumed, different formulations to address the uncertainties are constructed: classical robust optimisation, risk-minimisation stochastic programming, and adjustable robust optimisation. Experiments conducted using data from West Java, Indonesia allow us to discuss the advantages and drawbacks of each method. Our methods constitute a toolbox to support decision makers with making procurement decisions and answering managerial questions such as which annual budget is fair and safe, or when storage peaks are likely to occur.