Integrated Virtual Stockpile Pooling and On-Event Retrieval for Efficient Emergency Response

库存 联营 事件(粒子物理) 应急响应 计算机科学 情报检索 业务 数据库 医疗急救 人工智能 医学 政治学 物理 量子力学 法学
作者
Minxuan He,Fang Liu,Jing‐Sheng Song
出处
期刊:Social Science Research Network [Social Science Electronic Publishing]
标识
DOI:10.2139/ssrn.4831904
摘要

To mitigate warehousing and spoilage costs in emergency supply stockpiling, governments often partner with private companies to distribute emergency supplies across various locations in the commercial supply chain for regular demand rotation. Commonly, a ``red line" is assigned to each location, with inventory below this line reserved solely for emergencies. Previous literature has proposed a Virtual Stockpile Pooling (VSP) strategy that dynamically adjusts red lines among the locations based on real-time demand information, omitting the emergency retrieval process. This study introduces an Integrated Virtual Stockpile Pooling and On-Event Retrieval (VSPR) strategy that refines VSP by incorporating emergency retrieval costs into its design. We present a novel ranking method to solve VSPR's three-stage optimization process, leading to a collaborative base-stock system, a priority-based red-line reassignment, and a greedy algorithm for efficient supply retrieval. We show that VSPR strategically reserves supplies at ``key locations", optimizing cost and response efficiency. A case study demonstrates that, compared with VSP, VSPR has the potential to reduce operational costs by up to 13.8\% while enhancing service levels by up to 4.9\%. VSPR's applicability extends to many other contexts, including resilient supply chain management, healthcare operations, energy and natural resource management, and military logistics.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
jessie发布了新的文献求助10
刚刚
小马甲应助寂寞的寄文采纳,获得10
3秒前
4秒前
岸在海的深处完成签到 ,获得积分10
5秒前
xiao应助小吴采纳,获得10
6秒前
西溪完成签到 ,获得积分10
6秒前
7秒前
pi发布了新的文献求助10
8秒前
hunting发布了新的文献求助10
8秒前
8秒前
jujijuji应助Anquan采纳,获得10
8秒前
9秒前
9秒前
bkagyin应助科研通管家采纳,获得10
11秒前
CodeCraft应助科研通管家采纳,获得10
11秒前
王黎应助科研通管家采纳,获得30
11秒前
李爱国应助科研通管家采纳,获得10
12秒前
科研通AI2S应助科研通管家采纳,获得10
12秒前
科研通AI5应助科研通管家采纳,获得10
12秒前
Neko应助科研通管家采纳,获得20
12秒前
12秒前
JiangHb完成签到,获得积分10
13秒前
14秒前
14秒前
Jian发布了新的文献求助20
14秒前
lingjuanwu发布了新的文献求助10
14秒前
南鸢完成签到 ,获得积分10
15秒前
今后应助wbn1212采纳,获得10
15秒前
光电彭于晏完成签到,获得积分10
15秒前
丰盛的煎饼应助LiShin采纳,获得10
16秒前
大胆的凡儿完成签到 ,获得积分10
16秒前
蝴蝶发布了新的文献求助10
20秒前
槐序发布了新的文献求助10
22秒前
22秒前
陶醉晓凡关注了科研通微信公众号
23秒前
爱学习的小菜鸡完成签到,获得积分10
24秒前
24秒前
28秒前
取法乎上完成签到 ,获得积分10
28秒前
xiaozheng完成签到,获得积分10
30秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
Luis Lacasa - Sobre esto y aquello 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3528035
求助须知:如何正确求助?哪些是违规求助? 3108306
关于积分的说明 9288252
捐赠科研通 2805909
什么是DOI,文献DOI怎么找? 1540220
邀请新用户注册赠送积分活动 716950
科研通“疑难数据库(出版商)”最低求助积分说明 709851