Modeling and transportation planning for US noncombatant evacuation operations in South Korea

Q3 Decision Sciences
John A. Kearby, Ryan D. Winz, T. Hodgson, M. Kay, R. King, B. M. McConnell
{"title":"Modeling and transportation planning for US noncombatant evacuation operations in South Korea","authors":"John A. Kearby, Ryan D. Winz, T. Hodgson, M. Kay, R. King, B. M. McConnell","doi":"10.1108/jdal-05-2019-0010","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThe purpose of this paper is to investigate US noncombatant evacuation operations (NEO) in South Korea and devise planning and management procedures that improve the efficiency of those missions.\n\n\nDesign/methodology/approach\nIt formulates a time-staged network model of the South Korean noncombatant evacuation system as a mixed integer linear program to determine an optimal flow configuration that minimizes the time required to complete an evacuation. This solution considers the capacity and resource constraints of multiple transportation modes and effectively allocates the limited assets across a time-staged network to create a feasible evacuation plan. That solution is post-processed and a vehicle routing procedure then produces a high resolution schedule for each individual asset throughout the entire duration of the NEO.\n\n\nFindings\nThis work makes a clear improvement in the decision-making and resource allocation methodology currently used in a NEO on the Korea peninsula. It immediately provides previously unidentifiable information regarding the scope and requirements of a particular evacuation scenario and then produces an executable schedule for assets to facilitate mission accomplishment.\n\n\nOriginality/value\nThe significance of this work is not relegated only to evacuation operations on the Korean peninsula; there are numerous other NEO and natural disaster related scenarios that can benefit from this approach.\n","PeriodicalId":32838,"journal":{"name":"Journal of Defense Analytics and Logistics","volume":"28 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Defense Analytics and Logistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/jdal-05-2019-0010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Decision Sciences","Score":null,"Total":0}
引用次数: 4

Abstract

Purpose The purpose of this paper is to investigate US noncombatant evacuation operations (NEO) in South Korea and devise planning and management procedures that improve the efficiency of those missions. Design/methodology/approach It formulates a time-staged network model of the South Korean noncombatant evacuation system as a mixed integer linear program to determine an optimal flow configuration that minimizes the time required to complete an evacuation. This solution considers the capacity and resource constraints of multiple transportation modes and effectively allocates the limited assets across a time-staged network to create a feasible evacuation plan. That solution is post-processed and a vehicle routing procedure then produces a high resolution schedule for each individual asset throughout the entire duration of the NEO. Findings This work makes a clear improvement in the decision-making and resource allocation methodology currently used in a NEO on the Korea peninsula. It immediately provides previously unidentifiable information regarding the scope and requirements of a particular evacuation scenario and then produces an executable schedule for assets to facilitate mission accomplishment. Originality/value The significance of this work is not relegated only to evacuation operations on the Korean peninsula; there are numerous other NEO and natural disaster related scenarios that can benefit from this approach.
美国在韩国的非战斗人员撤离行动的建模和运输规划
本文的目的是调查美国在韩国的非战斗人员撤离行动(NEO),并制定计划和管理程序,以提高这些任务的效率。设计/方法/方法将韩国非战斗人员撤离系统的时间阶段网络模型作为一个混合整数线性规划,以确定一个最佳的流程配置,使完成撤离所需的时间最小化。该方案考虑了多种运输方式的能力和资源约束,将有限的资产有效地分配到一个时间阶段的网络中,以创建一个可行的疏散计划。该解决方案是后处理的,然后车辆路由程序在NEO的整个持续时间内为每个单个资产生成高分辨率时间表。这项工作对目前在朝鲜半岛近地天体上使用的决策和资源分配方法有了明显的改进。它立即提供关于特定撤离方案的范围和要求的以前无法查明的资料,然后编制可执行的资产时间表,以促进任务的完成。独创性/价值这项工作的意义不仅限于朝鲜半岛的撤离行动;还有许多其他近地天体和自然灾害相关的场景可以从这种方法中受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
0.90
自引率
0.00%
发文量
5
审稿时长
12 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信