{"title":"A multi-objective transportation model for COVID-19 patients: lesson learned from France","authors":"Houda Alaya, Haifa Jammeli, Fouad Ben Abdelaziz, Meryem Masmoudi, Jerome Verny","doi":"10.1111/itor.13447","DOIUrl":null,"url":null,"abstract":"The current COronaVIrus Disease 2019 (COVID-19) pandemic has revealed many challenges to the world. The pandemic obliged public authorities to impose lockdowns and stop several activities. Limited hospital capacity was considered one of the main reasons behind lockdown decisions. To partially face hospital congestion, the healthcare authorities suggested transferring patients to hospitals in regions with available beds to relieve overloaded hospitals. Such transfer operations required exceptional modes of transportation such as trains and airplanes. This paper aims to demonstrate that efficient health logistics might help face the pandemic health effects and save lives. In this paper, we propose a multi-objective mathematical program to schedule the transfer of patients using trains and airplanes. The proposed sustainable logistics model was tested using French real-life data for the period March–April 2020 using CPLEX software. We also illustrate the health benefits of our solution.","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"121 1","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Transactions in Operational Research","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1111/itor.13447","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0
Abstract
The current COronaVIrus Disease 2019 (COVID-19) pandemic has revealed many challenges to the world. The pandemic obliged public authorities to impose lockdowns and stop several activities. Limited hospital capacity was considered one of the main reasons behind lockdown decisions. To partially face hospital congestion, the healthcare authorities suggested transferring patients to hospitals in regions with available beds to relieve overloaded hospitals. Such transfer operations required exceptional modes of transportation such as trains and airplanes. This paper aims to demonstrate that efficient health logistics might help face the pandemic health effects and save lives. In this paper, we propose a multi-objective mathematical program to schedule the transfer of patients using trains and airplanes. The proposed sustainable logistics model was tested using French real-life data for the period March–April 2020 using CPLEX software. We also illustrate the health benefits of our solution.
期刊介绍：
International Transactions in Operational Research (ITOR) aims to advance the understanding and practice of Operational Research (OR) and Management Science internationally. Its scope includes:
International problems, such as those of fisheries management, environmental issues, and global competitiveness
International work done by major OR figures
Studies of worldwide interest from nations with emerging OR communities
National or regional OR work which has the potential for application in other nations
Technical developments of international interest
Specific organizational examples that can be applied in other countries
National and international presentations of transnational interest
Broadly relevant professional issues, such as those of ethics and practice
Applications relevant to global industries, such as operations management, manufacturing, and logistics.
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