Optimization method of regional warehouse site selection and material allocation for emergency rescue of gas pipe network

In recent years, gas leakage and explosion accidents in urban gas pipe network occur frequently, which poses a great threat to public security. The regional warehouse for emergency rescue is an important place used for the management of storage and distribution of emergency materials in the gas emergency rescue system and ensuring timely and efficient support for gas emergency materials. In this paper, K-means clustering algorithm is employed to determine the layout of the regional warehouse, according to the field investigation and opinions of experts. The optimized allocation of emergency materials is analyzed based on Delphi method and two rounds of investigation on material allocation. The results show that this method can determine the layout of the regional warehouse in a scientific way and allocate the type and quantity of emergency materials in a reasonable way, so as to optimize the layout of the regional warehouse and the structure of materials.

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Publication Details

Published
2024-11-08
DOI
https://doi.org/10.1117/12.3049728
Primary Topic
Safety and Risk Management
Type
article
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Optimization method of regional warehouse site selection and material allocation for emergency rescue of gas pipe network

Tian Jiang, Rui Li, Yanjun Chen, Wang Fei et al.
Safety and Risk Management
article

Optimization method of regional warehouse site selection and material allocation for emergency rescue of gas pipe network

Tian Jiang, Rui Li, Yanjun Chen, Wang Fei, Z. Cheng, Hongtao Mou
article en

Abstract

In recent years, gas leakage and explosion accidents in urban gas pipe network occur frequently, which poses a great threat to public security. The regional warehouse for emergency rescue is an important place used for the management of storage and distribution of emergency materials in the gas emergency rescue system and ensuring timely and efficient support for gas emergency materials. In this paper, K-means clustering algorithm is employed to determine the layout of the regional warehouse, according to the field investigation and opinions of experts. The optimized allocation of emergency materials is analyzed based on Delphi method and two rounds of investigation on material allocation. The results show that this method can determine the layout of the regional warehouse in a scientific way and allocate the type and quantity of emergency materials in a reasonable way, so as to optimize the layout of the regional warehouse and the structure of materials.

Southwest Petroleum University (CN), Shanghai Huayi Group (China) (CN), PetroChina Southwest Oil and Gas Field Company (China)
Sustainable cities and communities
Openalex Percentile: Top 72%
Safety and Risk Management
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