Multi-objective medical supplies distribution open vehicle routing problem with fairness and timeliness under major public health emergencies
Abstract Fair and timely delivery of supplies plays a critical role under major public health emergencies. In this paper, aiming at fairness and timeliness, an optimization model of open vehicle routing problem for medical supplies distribution is established considering the urgency of the demand. W...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2023-07-01
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| Series: | Management System Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44176-023-00015-6 |
| _version_ | 1797778689518206976 |
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| author | Fanfan Zheng Lijing Du Xiaohuan Li Jianna Zhang Bingwei Tian Ra’fat Jallad |
| author_facet | Fanfan Zheng Lijing Du Xiaohuan Li Jianna Zhang Bingwei Tian Ra’fat Jallad |
| author_sort | Fanfan Zheng |
| collection | DOAJ |
| description | Abstract Fair and timely delivery of supplies plays a critical role under major public health emergencies. In this paper, aiming at fairness and timeliness, an optimization model of open vehicle routing problem for medical supplies distribution is established considering the urgency of the demand. We adopt a differential evolutionary algorithm with fast non-dominated solution sorting to solve the proposed model, obtaining an approximate Pareto optimal solution set. Through the comparison of algorithms, the results showed that the differential evolutionary algorithm with non-dominated sorting is superior with a shorter runtime and more diverse solutions, while the epsilon constraint method has more accurate solutions. In the case verification, the quality of the solutions of both algorithms was within the acceptable range, but the runtime of the epsilon constraint method was too long to be applicable. The results can provide theoretical suggestions and practical guidance for decision-makers in emergency supplies distribution. |
| first_indexed | 2024-03-12T23:20:08Z |
| format | Article |
| id | doaj.art-367f3a2e6e3041449d5713ed6c6137c6 |
| institution | Directory Open Access Journal |
| issn | 2731-5843 |
| language | English |
| last_indexed | 2024-03-12T23:20:08Z |
| publishDate | 2023-07-01 |
| publisher | Springer |
| record_format | Article |
| series | Management System Engineering |
| spelling | doaj.art-367f3a2e6e3041449d5713ed6c6137c62023-07-16T11:28:35ZengSpringerManagement System Engineering2731-58432023-07-012111310.1007/s44176-023-00015-6Multi-objective medical supplies distribution open vehicle routing problem with fairness and timeliness under major public health emergenciesFanfan Zheng0Lijing Du1Xiaohuan Li2Jianna Zhang3Bingwei Tian4Ra’fat Jallad5Institute of Disaster Management and Reconstruction, Sichuan UniversitySchool of Management, Research Institute of Digital Governance and Management Decision Innovation, Wuhan University of TechnologySchool of Safety Science and Emergency Management, Wuhan University of TechnologyWest China Hospital, West China Hospital of Medicine, Sichuan UniversityInstitute of Disaster Management and Reconstruction, Sichuan UniversityAn-Najah National UniversityAbstract Fair and timely delivery of supplies plays a critical role under major public health emergencies. In this paper, aiming at fairness and timeliness, an optimization model of open vehicle routing problem for medical supplies distribution is established considering the urgency of the demand. We adopt a differential evolutionary algorithm with fast non-dominated solution sorting to solve the proposed model, obtaining an approximate Pareto optimal solution set. Through the comparison of algorithms, the results showed that the differential evolutionary algorithm with non-dominated sorting is superior with a shorter runtime and more diverse solutions, while the epsilon constraint method has more accurate solutions. In the case verification, the quality of the solutions of both algorithms was within the acceptable range, but the runtime of the epsilon constraint method was too long to be applicable. The results can provide theoretical suggestions and practical guidance for decision-makers in emergency supplies distribution.https://doi.org/10.1007/s44176-023-00015-6Major public health emergenciesMedical supplies distributionMulti-objective evolution algorithmUrgency of demand |
| spellingShingle | Fanfan Zheng Lijing Du Xiaohuan Li Jianna Zhang Bingwei Tian Ra’fat Jallad Multi-objective medical supplies distribution open vehicle routing problem with fairness and timeliness under major public health emergencies Management System Engineering Major public health emergencies Medical supplies distribution Multi-objective evolution algorithm Urgency of demand |
| title | Multi-objective medical supplies distribution open vehicle routing problem with fairness and timeliness under major public health emergencies |
| title_full | Multi-objective medical supplies distribution open vehicle routing problem with fairness and timeliness under major public health emergencies |
| title_fullStr | Multi-objective medical supplies distribution open vehicle routing problem with fairness and timeliness under major public health emergencies |
| title_full_unstemmed | Multi-objective medical supplies distribution open vehicle routing problem with fairness and timeliness under major public health emergencies |
| title_short | Multi-objective medical supplies distribution open vehicle routing problem with fairness and timeliness under major public health emergencies |
| title_sort | multi objective medical supplies distribution open vehicle routing problem with fairness and timeliness under major public health emergencies |
| topic | Major public health emergencies Medical supplies distribution Multi-objective evolution algorithm Urgency of demand |
| url | https://doi.org/10.1007/s44176-023-00015-6 |
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