A Multi-Objective Emergency Rescue Facilities Location Model for Catastrophic Interlocking Chemical Accidents in Chemical Parks

2020 ◽  
Vol 21 (11) ◽  
pp. 4749-4761 ◽  
Author(s):  
Jinkun Men ◽  
Peng Jiang ◽  
Song Zheng ◽  
Yaguang Kong ◽  
Ye Zhao ◽  
...  
2015 ◽  
Vol 744-746 ◽  
pp. 1745-1748 ◽  
Author(s):  
Qing Zhen Sun ◽  
Yan Jia ◽  
Xiao Ying Hou ◽  
Peng Li

In order to solve the location problem of the city disaster emergency rescue facilities, it applied the multi-objective decision method to resolve the problem. Firstly it described the types of emergency facilities in the city and proposed the basic principles of the location decision. Then it analyzed the four factors of the location decision, and it established the multi-objective decision model of the emergency rescue facilities location, which based on the integration of traditional location models. And then it used the linear weighted sum law to solve the model, and can readjust the weights of the goals to reach the satisfying plan. Finally, it applied the model to solve the emergency shelter location problem of the new area in the Zhengzhou. The result shows the feasibility and the effectiveness of the model which used the multi-objective decision method to solve the location problem of the city disaster emergency rescue facilities.


2021 ◽  
pp. 1-10
Author(s):  
Zhaoping Tang ◽  
Wenda Li ◽  
Shijun Yu ◽  
Jianping Sun

In the initial stage of emergency rescue for major railway emergencies, there may be insufficient emergency resources. In order to ensure that all the emergency demand points can be effectively and fairly rescued, considering the fuzzy properties of the parameters, such as the resource demand quantity, the dispatching time and the satisfaction degree, the railway emergency resources dispatching optimization model is studied, with multi- demand point, multi-depot, and multi-resource. Based on railway rescue features, it was proposed that the couple number of relief point - emergency point is the key to affect railway rescue cost and efficiency. Under the premise of the maximum satisfaction degree of quantity demanded at all emergency points, a multi-objective programming model is established by maximizing the satisfaction degree of dispatching time and the satisfaction degree of the couple number of relief point - emergency point. Combined with the ideal point method, a restrictive parameter interval method for optimal solution was designed, which can realize the quick seek of Pareto optimal solution. Furthermore, an example is given to verify the feasibility and effectiveness of the method.


2018 ◽  
Vol 246 ◽  
pp. 03045
Author(s):  
Siwei Li ◽  
Yansong Liang ◽  
Yanran Feng

This paper proposed a portable intelligent mobile detection equipment aimed at emergency treatment of chemical accidents, and mainly introduces the function, features, structure design and key technology of the equipment. The function is realized mainly through internal real-time monitoring and leakage source location calculation. using this unmanned detection equipment can effectively reduce casualties and risks of emergency personnel, and make rescue work easier and safer.


2011 ◽  
Vol 63-64 ◽  
pp. 277-280 ◽  
Author(s):  
Hong Zhi Liu ◽  
Li Na Liu

We build up a multi-objective location model of emergency logistics center location, The model combined the construction cost of emergency logistics center with the point of shortest distance from the emergency needs of the logistics center to the limited demand, so that meet the different deployment strategies. We get satisfactory results in the practical by using parametric programming method for solving multi-objective model and verifying for the analysis of examples of this multi-objective decision. The model take into account the cost, efficiency and fairness, combined with the traditional model of coverage (covering model, gravity model and the P-median model).To meet the city's emergency different deployment strategy, the multi-objective location model solve and verify by the parametric programming method and some examples.


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