Abstract The optimization of scheduling and sequencing of multiple resources during disaster management is a challenge due to substantial uncertainty. This paper presents an emergency operation model that aims to facilitate the scheduling and sequencing resources using multiple stochastic scenarios. The proposed model integrates GIS and Mixed Integer Programming (MIP) approaches. The ultimate goal of this paper is to provide a solution framework to identify the most persistent best compromised plan with a specified confidence level. The scheduling of multiple resources under uncertainty (MRSU) model is applied to a case study using data from the Black Saturday bushfires in 7 February 2009 in Victoria, Australia. Several probabilistic scenarios are analyzed to determine the most frequent emergency operation plan. Several probabilistic scenarios are analyzed to determine the most persistent best compromised emergency operation plan. The results indicate that the model can generate plans to schedule multiple resources, thus providing effective service in most emergency scenarios.

中文翻译：

---

应急操作多种资源的概率分配和调度；维多利亚州丛林大火案例研究

摘要 由于存在大量不确定性，在灾害管理期间优化多个资源的调度和排序是一个挑战。本文提出了一种应急操作模型，旨在使用多个随机场景促进资源的调度和排序。提议的模型集成了 GIS 和混合整数规划 (MIP) 方法。本文的最终目标是提供一个解决方案框架，以识别具有指定置信度的最持久的最佳妥协计划。不确定性下的多种资源调度 (MRSU) 模型应用于案例研究，该案例研究使用来自澳大利亚维多利亚州 2009 年 2 月 7 日黑色星期六丛林大火的数据。分析了几种概率场景以确定最频繁的紧急操作计划。分析了几种概率场景，以确定最持久的最佳妥协应急操作计划。结果表明，该模型可以生成调度多个资源的计划，从而在大多数紧急情况下提供有效的服务。