Multi-objective decision-making on emergency material distribution under uncertain demand based on robust optimization

被引：0

作者：

Long H.-B. ^{[1
]}

Yang J.-Q. ^{[1
]}

Yin L. ^{[1
]}

Zhao X.-Y. ^{[2
]}

Xiang Z.-Q. ^{[1
]}

机构：

[1] School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan

[2] School of Economics and Management, Hubei University of Education, Wuhan

来源：

Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2023年 / 53卷 / 04期

关键词：

demand uncertainty; emergency supplies distribution route; multi-objective optimization; robust optimization;

D O I：

10.13229/j.cnki.jdxbgxb.20211416

中图分类号：

学科分类号：

摘要：

Aiming at the uncertainty and suddenness of emergency material distribution decision-making，a multi-objective robust optimization-based emergency material distribution decision model under uncertain demand is proposed. Based on the analysis of the randomness of emergency demand，the demand uncertainty risk of emergency logistics facilities and the risk on road network interruption，it is determined that maximum sum of satisfaction with the rescue time of the material demand point，minimum the total system cost，and sum of rescue time of the material reaches the demand point as the goal，a multi-objective robust optimization model is constructed and solved by Matlab software. Taking a natural disaster in a mountainous area as an example，the validity and correctness of the multi-objective robust optimization model are verified. The results show that in the distribution of emergency supplies under uncertain demand，decision maker can weigh the pros and cons based on the multi-objective robust optimization model in this paper，and formulate a rescue plan that not only has the ability to deal with risks，but also can respond quickly. © 2023 Editorial Board of Jilin University. All rights reserved.

引用

页码：1078 / 1084

页数：6

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