新冠肺炎疫情下物流企业运输成本优化研究

Thai Thanh Sang, Nguyễn Thị Minh Thu, Truong Hoang Khoi, N. Hương, L. Lan, N. Thanh
{"title":"新冠肺炎疫情下物流企业运输成本优化研究","authors":"Thai Thanh Sang, Nguyễn Thị Minh Thu, Truong Hoang Khoi, N. Hương, L. Lan, N. Thanh","doi":"10.35877/mathscience567","DOIUrl":null,"url":null,"abstract":"The Covid-19 pandemic has had a significant impact on every industry globally, especially the transportation industry being severely disrupted. With people's travel demand at an all-time low, maintaining the country's transportation infrastructure is crucial to ensure the movement of essential goods. However, the Vietnamese government’s decision to apply social distancing measures to limit and prevent the spread of the disease has generated extreme challenges in the freight transport industry, which have harmed the Vietnamese economy by restricting levels of business activity, causing the movement and distribution of essential commodities to be halted. Based on the practical needs of transportation enterprises, this study proposes a low-cost freight allocation strategy using mix-integer linear programming approaches to ensure an efficient operation for businesses in order to resume normal operations in the context of the Covid-19 epidemic's complex development. The research focuses on developing a mathematical model with an objective function that minimizes total cost and associated constraints. The findings of the study point to the development of a solution that solves businesses problems in determining the optimal transportation plan and assist in making decisions on allocating goods to suitable locations, ensuring the quantity of serving the needs of each district in Ho Chi Minh City, minimizing transportation time while still saving costs. Furthermore, the article aids a decision-making process for other transportation industries.","PeriodicalId":431947,"journal":{"name":"ARRUS Journal of Mathematics and Applied Science","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Optimization of Transportation Costs in Logistics Enterprises during the Covid-19 Pandemic\",\"authors\":\"Thai Thanh Sang, Nguyễn Thị Minh Thu, Truong Hoang Khoi, N. Hương, L. Lan, N. Thanh\",\"doi\":\"10.35877/mathscience567\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Covid-19 pandemic has had a significant impact on every industry globally, especially the transportation industry being severely disrupted. With people's travel demand at an all-time low, maintaining the country's transportation infrastructure is crucial to ensure the movement of essential goods. However, the Vietnamese government’s decision to apply social distancing measures to limit and prevent the spread of the disease has generated extreme challenges in the freight transport industry, which have harmed the Vietnamese economy by restricting levels of business activity, causing the movement and distribution of essential commodities to be halted. Based on the practical needs of transportation enterprises, this study proposes a low-cost freight allocation strategy using mix-integer linear programming approaches to ensure an efficient operation for businesses in order to resume normal operations in the context of the Covid-19 epidemic's complex development. The research focuses on developing a mathematical model with an objective function that minimizes total cost and associated constraints. The findings of the study point to the development of a solution that solves businesses problems in determining the optimal transportation plan and assist in making decisions on allocating goods to suitable locations, ensuring the quantity of serving the needs of each district in Ho Chi Minh City, minimizing transportation time while still saving costs. Furthermore, the article aids a decision-making process for other transportation industries.\",\"PeriodicalId\":431947,\"journal\":{\"name\":\"ARRUS Journal of Mathematics and Applied Science\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ARRUS Journal of Mathematics and Applied Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35877/mathscience567\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ARRUS Journal of Mathematics and Applied Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35877/mathscience567","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

新冠肺炎疫情对全球各行各业都产生了重大影响,尤其是交通运输业受到严重冲击。由于人们的出行需求处于历史最低水平,维护国家的交通基础设施对于确保必需品的运输至关重要。然而,越南政府决定采取社会距离措施来限制和防止疾病的传播,这给货运行业带来了极大的挑战,限制了商业活动水平,导致基本商品的运输和分销停止,损害了越南经济。本文从运输企业的实际需求出发,提出了一种基于混合整数线性规划方法的低成本货运分配策略,以确保企业在疫情复杂发展的背景下高效运营,恢复正常运营。研究的重点是建立一个具有目标函数的数学模型,使总成本和相关约束最小化。该研究的结果表明,开发一种解决方案,解决企业在确定最佳运输计划方面的问题,并协助决策将货物分配到合适的位置,确保满足胡志明市每个地区的需求,最大限度地减少运输时间,同时仍然节省成本。此外,本文还有助于其他运输行业的决策过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
The Optimization of Transportation Costs in Logistics Enterprises during the Covid-19 Pandemic
The Covid-19 pandemic has had a significant impact on every industry globally, especially the transportation industry being severely disrupted. With people's travel demand at an all-time low, maintaining the country's transportation infrastructure is crucial to ensure the movement of essential goods. However, the Vietnamese government’s decision to apply social distancing measures to limit and prevent the spread of the disease has generated extreme challenges in the freight transport industry, which have harmed the Vietnamese economy by restricting levels of business activity, causing the movement and distribution of essential commodities to be halted. Based on the practical needs of transportation enterprises, this study proposes a low-cost freight allocation strategy using mix-integer linear programming approaches to ensure an efficient operation for businesses in order to resume normal operations in the context of the Covid-19 epidemic's complex development. The research focuses on developing a mathematical model with an objective function that minimizes total cost and associated constraints. The findings of the study point to the development of a solution that solves businesses problems in determining the optimal transportation plan and assist in making decisions on allocating goods to suitable locations, ensuring the quantity of serving the needs of each district in Ho Chi Minh City, minimizing transportation time while still saving costs. Furthermore, the article aids a decision-making process for other transportation industries.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Cluster Analysis of New Students at STKIP Pembangunan Indonesia during the COVID-19 Pandemic Based on Regional Origin Cluster Analysis Using Ensemble ROCK Method in District/City Grouping in South Sulawesi Province based on People's Welfare Indicators K-Prototype Algorithm in Grouping Regency/City in South Sulawesi Province Based on 2020 People's Welfare Analysis of Learning Difficulties for Students of MAN 2 Makassar Analysis of Stock Portfolio Optimization in the Telecommunications Sector Using the Single Index Model
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1