Optimization of emergency allocation of necessities of life based on fractal perspective.

demand disturbance emergency allocation fractal perspective necessities of life optimization model

Journal

Frontiers in public health
ISSN: 2296-2565
Titre abrégé: Front Public Health
Pays: Switzerland
ID NLM: 101616579

Informations de publication

Date de publication:
2023
Historique:
received: 23 06 2023
accepted: 22 08 2023
medline: 2 10 2023
pubmed: 29 9 2023
entrez: 29 9 2023
Statut: epublish

Résumé

The supply and reserves of emergency necessities of life are important for emergency management in disaster events. The scope of the necessities of life changes with social development, and their reserves and allocation in sudden disaster events continually face new challenges. Timely distribution of the necessities of life during disasters is critical to saving lives and maintaining social order. Therefore, this study proposes a fractal multi-level distribution network (FMDN) optimization model with multiple warehouse points, multiple emergency distribution centers, and multiple disaster points from the perspective of fractal theory. The FMDN model considers the influence of road damage on vehicle speed and the dynamic change in demand at the affected points. The FMDN model aims to minimize the operating costs of a distribution network, including the cost of building emergency reserve points, transportation costs, and penalty costs for lack of demand. Numerical experiments verify the feasibility of the model. The FMDN model is solved using LINGO software programming, and an optimal distribution path and quantity are obtained. Analyzing the numerical example results shows that the model is suitable for emergencies and has good applicability.

Identifiants

pubmed: 37771837
doi: 10.3389/fpubh.2023.1245415
pmc: PMC10523312
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1245415

Informations de copyright

Copyright © 2023 Li, Zhou, Hu, Ning, Wang, Huang and Tao.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

J Soc Policy. 2015 Jul;44(3):591-610
pubmed: 26139948
Comput Intell Neurosci. 2015;2015:375163
pubmed: 26167171
Rep Prog Phys. 2019 Dec;82(12):125901
pubmed: 31505468
PLoS One. 2020 Apr 29;15(4):e0232204
pubmed: 32348329

Auteurs

Hong Li (H)

Department of Economics and Social Development, Gansu Normal College for Nationalities, Hezuo, Gansu, China.
School of Business Administration, Zhongnan University of Economics and Law, Wuhan, Hubei, China.

Zhe Zhou (Z)

School of Public Health and Management, Wenzhou Medical University, Wenzhou, Zhejiang, China.

Chuan Hu (C)

School of Business Administration, Zhongnan University of Economics and Law, Wuhan, Hubei, China.

Yumei Ning (Y)

School of Business Administration, Zhongnan University of Economics and Law, Wuhan, Hubei, China.

Zihao Wang (Z)

School of Business Administration, Zhongnan University of Economics and Law, Wuhan, Hubei, China.

Hua Huang (H)

Business School of Hbue, Hubei University of Economics, Wuhan, Hubei, China.

Kangsheng Tao (K)

School of Business Administration, Zhongnan University of Economics and Law, Wuhan, Hubei, China.

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Classifications MeSH