Citation

Kuang Y, Zhao J. China Saf. Sci. J. 2022; 32(4): 185-191.

Copyright

(Copyright © 2022, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2022.04.027

PMID

unavailable

Abstract

In order to improve safety of dangerous goods＇ storage and transportation, considering the location and routing problems under continuous time-varying risks, warehouse location, transportation routes and flow allocation were optimized simultaneously. Firstly, a nonlinear assessment model for continuous time-varying risks was formulated considering continuous influence of emergency rescues. Then, with minimization of total risks and cost as optimized goals, a multi-objective nonlinear 0-1 mixed integer programming model was developed based on locally connected urban network. Finally, TOPSIS-based Dijkstra phased solution algorithm was designed according to the model＇s complexity, and several examples were used to verify the effectiveness of the model and algorithm. The results show that compared with current management schemes, the proposed method, which considers continuous time-varying risks, can reduce 48. 79% of risks, and therefore provides a better plan for dangerous goods＇ storage and transportation. © 2022 China Safety Science Journal. All rights reserved.

Language: zh