Paper
16 March 2023 Optimization of enterprise emergency material dispatch considering the third-party emergency force
Jihong Ye, Jiang Wei, Hong Bingyuan
Author Affiliations +
Proceedings Volume 12593, Second Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022); 125930U (2023) https://doi.org/10.1117/12.2671925
Event: 2nd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022), 2022, Guangzhou, China
Abstract
The third-party emergency forces such as neighboring enterprises in the accident can improve the rescue efficiency and shorten the rescue time to ensure the production and property safety of the affected people as much as possible. This paper proposes an emergency material scheduling model taking time as the objective and considering the participation of multi-party emergency forces. The model can freely decide the type of materials to improve the rescue efficiency when the risk index of the accident point is satisfied. A real case illustrates the applicability of the proposed model. The result shows that the average arrival time of emergency supplies for corporate safety production accidents is 12.53 minutes, of which 89.13% of accidents can deliver supplies within 10 minutes. Daishan Fire Brigade and CNOOC (Zhoushan) are the main rescue partners for enterprises. In addition, foam trucks are given priority to be put into the rescue process. This study can provide a basis for enterprises to adjust the storage of materials and the government to supervise enterprises.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jihong Ye, Jiang Wei, and Hong Bingyuan "Optimization of enterprise emergency material dispatch considering the third-party emergency force", Proc. SPIE 12593, Second Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022), 125930U (16 March 2023); https://doi.org/10.1117/12.2671925
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KEYWORDS
Fire

Foam

Transportation

Safety

Emergency preparedness

Materials properties

Performance modeling

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