Research on Emergency Material Dispatching Model for Multi-disaster Sites Under Natural Disasters

DOI

10.2991/978-94-6463-570-6_7How to use a DOI?

Keywords

natural disaster; emergency supplies; dispatch optimization; multi-objective decision making; fuzzy mathematics

Abstract

Natural disasters pose a serious threat to society and people’s lives, and the timely dispatch of emergency supplies has become a key link in mitigating the impact of disasters and safeguarding the basic livelihood of affected people. However, the diversity, uncertainty and infrastructure destruction of the affected areas make the dispatch of emergency supplies face great challenges. In this paper, a multi-objective optimisation model is developed that integrates the dispatching cost and time. The model aims to find the optimal material dispatch solution under multiple uncertain scenarios. It is validated by a major flood disaster in Hebei Province, China in 2023 as a case study. Under uncertainty conditions, this paper uses a fuzzy algorithm based on two-dimensional Euclidean distance objective assignment to analyse the multi-objective emergency resource scheduling model. By weighing the two components of the multi-objective and determining the weights, the model is transformed into a single-objective model, which is then solved using the LINGO software to obtain the basic data of resource scheduling. The results show that the model and method of this study can cope with the complexity and uncertainty of actual disaster scenarios, provide decision makers with scientific and reasonable suggestions for material dispatch, and maximise the efficiency of disaster relief in disaster-stricken areas and the life safety of the affected people.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ming Gao
AU  - Minghai Lv
PY  - 2024
DA  - 2024/11/22
TI  - Research on Emergency Material Dispatching Model for Multi-disaster Sites Under Natural Disasters
BT  - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
PB  - Atlantis Press
SP  - 62
EP  - 72
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-570-6_7
DO  - 10.2991/978-94-6463-570-6_7
ID  - Gao2024
ER  -