Multi-objective medical supplies distribution open vehicle routing problem with fairness and timeliness under major public health emergencies
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...
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| Published in: | Management System Engineering Vol. 2; no. 1; pp. 1 - 13 |
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| Main Authors: | , , , , , |
| Format: | Journal Article |
| Language: | English |
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Springer Nature Singapore
10.07.2023
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| ISSN: | 2731-5843, 2731-5843 |
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| 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. |
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| AbstractList | 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. 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. |
| ArticleNumber | 5 |
| Author | Zheng, Fanfan Li, Xiaohuan Jallad, Ra’fat Tian, Bingwei Zhang, Jianna Du, Lijing |
| Author_xml | – sequence: 1 givenname: Fanfan surname: Zheng fullname: Zheng, Fanfan organization: Institute of Disaster Management and Reconstruction, Sichuan University – sequence: 2 givenname: Lijing surname: Du fullname: Du, Lijing email: dulijing@whut.edu.cn organization: School of Management, Research Institute of Digital Governance and Management Decision Innovation, Wuhan University of Technology – sequence: 3 givenname: Xiaohuan surname: Li fullname: Li, Xiaohuan organization: School of Safety Science and Emergency Management, Wuhan University of Technology – sequence: 4 givenname: Jianna surname: Zhang fullname: Zhang, Jianna organization: West China Hospital, West China Hospital of Medicine, Sichuan University – sequence: 5 givenname: Bingwei surname: Tian fullname: Tian, Bingwei organization: Institute of Disaster Management and Reconstruction, Sichuan University, West China Hospital, West China Hospital of Medicine, Sichuan University – sequence: 6 givenname: Ra’fat surname: Jallad fullname: Jallad, Ra’fat organization: An-Najah National University |
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| Keywords | Urgency of demand Medical supplies distribution Multi-objective evolution algorithm Major public health emergencies |
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| Snippet | Fair and timely delivery of supplies plays a critical role under major public health emergencies. In this paper, aiming at fairness and timeliness, an... 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... |
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| SubjectTerms | Business and Management Major public health emergencies Medical supplies distribution Multi-objective evolution algorithm Research Article Urgency of demand |
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| Title | Multi-objective medical supplies distribution open vehicle routing problem with fairness and timeliness under major public health emergencies |
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