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兼顾公平与效率的灾后应急设施选址与物资分配优化

吴鹏 韦嘉豪 王琦 游雨轩 储诚斌

工业工程2026,Vol.29Issue(2):89-99,11.
工业工程2026,Vol.29Issue(2):89-99,11.DOI:10.3969/j.issn.1007-7375.240337

兼顾公平与效率的灾后应急设施选址与物资分配优化

Optimization of Post-disaster Emergency Facility Location and Resource Allocation Considering Fairness and Efficiency

吴鹏 1韦嘉豪 1王琦 1游雨轩 2储诚斌1

作者信息

  • 1. 福州大学 经济与管理学院,福建 福州 350108
  • 2. 福州大学 先进制造学院,福建 晋江 362251
  • 折叠

摘要

Abstract

After major natural disasters like super typhoons,available resources are often insufficient to meet all rescue needs within a short timeframe.Affected populations who are not prioritized for assistance may perceive unfair treatment and experience human suffering.This study addresses the issues of post-disaster emergency facility location and resource allocation considering fairness and efficiency.We first construct a human suffering function as a measure of fairness in relief operations.Then,the studied problem is formulated as a mixed integer nonlinear programming model,with its NP-hardness being proved.To effectively solve the problem,an improved adaptive hybrid algorithm(AHA)is developed,which incorporates an adaptive genetic evolution operator and a simulated annealing mechanism to improve the AHA's performance.Finally,numerical experiments on a case study of Super Typhoon Meranti in Xiamen,China,along with randomly generated simulation instances are conducted to verify the effectiveness of the proposed model and algorithm.Results show that compared to traditional intelligent optimization algorithms,AHA reduces comprehensive rescue costs by 3.22%.Furthermore,our proposed model and algorithm can effectively solve the post-disaster emergency relief problem considering fairness,providing decision-makers with efficient schemes of emergency facility location and resource allocation.

关键词

应急设施选址/物资分配/公平性/痛苦感知/自适应混合算法

Key words

emergency facility location/resource allocation/fairness/human suffering/adaptive hybrid algorithm

分类

管理科学

引用本文复制引用

吴鹏,韦嘉豪,王琦,游雨轩,储诚斌..兼顾公平与效率的灾后应急设施选址与物资分配优化[J].工业工程,2026,29(2):89-99,11.

基金项目

国家自然科学基金项目(71701049) (71701049)

国家"万人计划"青年拔尖人才计划项目(202309) (202309)

教育部人文社会科学规划项目(21YJA630096) (21YJA630096)

福建省"雏鹰计划"青年拔尖人才计划项目(202105) (202105)

工业工程

OACHSSCD

1007-7375

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