| Title: | MPPSO-based collaborative optimization for emergency medical supplies loading and scheduling : elektronski vir |
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| Authors: | ID Zhang, Hankun (Author)
ID Shen, Jiayu (Author)
ID Yang, Jianna (Author)
ID Ojsteršek, Robert (Author) |
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| Files: |  TV_33_2026_1_116-125.pdf (2,49 MB)
MD5: 138434DDBC97684F495AF8BC5A8D9B1D
 https://hrcak.srce.hr/342632
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| Language: | English |
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| Work type: | Article |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FS - Faculty of Mechanical Engineering
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| Abstract: | Public emergency occurs frequently, which has a serious impact on people's life safety and social stability. When public emergency occurs, the government needs to respond quickly to reduce casualties and property losses. Emergency medical supplies scheduling is the key work of government response, which is a scheduling problem. To solve the scheduling problem, firstly, we designed a collaborative system of loading and scheduling of emergency medical supplies. Secondly, considering the waiting time and the affected level of the affected point, and the conflict time of loading and unloading, a loading and scheduling collaborative optimization model of emergency medical supplies is constructed, the objective of which is the minimum maximum weighted time of all affected points. Thirdly, based on the Multi-phase Particle Swarm Optimization (MPPSO), an improved Multi-phase Particle Swarm Optimization (IMPPSO) is designed to improve the ability to solve the constructed collaborative optimization model. Finally, by taking the rainstorm event in Fangshan District on July 31, 2023 as an example, the proposed method has obtained an efficient scheduling solution in a reasonable time. The average fitness obtained by IMPPSO is 15,58% and 42,95% better than that of MPPSO and Particle Swarm Optimization (PSO), respectively. It is proved that the proposed method has good feasibility in practical application, which provides emergency medical supplies scheduling decision support for emergency management departments in public emergency. |
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| Keywords: | emergency medical supplies, loading and scheduling collaborative, multi-phase particle swarm optimization, public emergency |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Publication date: | 31.12.2025 |
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| Publisher: | Hrčak |
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| Year of publishing: | 2026 |
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| Number of pages: | str. 116-125 |
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| Numbering: | Vol. 33, no. 1 |
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| PID: | 20.500.12556/DKUM-96550  |
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| UDC: | 658.5:519.6 |
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| ISSN on article: | 1848-6339 |
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| COBISS.SI-ID: | 264327427 |
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| DOI: | 10.17559/TV-20250418002604 |
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| Publication date in DKUM: | 19.01.2026 |
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| Views: | 532 |
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| Downloads: | 4 |
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| Metadata: |    |
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| Categories: | Misc.
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