Emergency material scheduling optimization method for multiple disaster places and multiple retrieval depots

Abstract

The invention discloses an emergency material scheduling optimization method for multiple disaster places and multiple retrieval depots, and the method gives consideration to the impact from uncertainfactors in an emergency rescue process, such as traffic jam, weather and road conditions. The method comprises the steps: employing a section number for representing the uncertainty of transportationtime; building a multi-object model which meets requirements that emergency time does not exceed an emergency time limit, the truth degree is maximum and the transportation cost is minimum; constructing an emergency material scheduling optimization model through the multiple objects that the reliability is the highest and the cost is the lowest; introducing a solving algorithm of an ideal point proposing model based on a condition that the reliability and the cost do not have the uniformity; searching an ideal point between the reliability and the cost as an optimal scheme, and providing a solution for the emergent scheduling of emergency materials for multiple disaster places and multiple retrieval depots. The method is simple and convenient in solving and calculation, and the required basic data is easy to obtain. After the occurrence of disasters, the method can help a decision maker quickly determine a rescue scheme, saves the precious rescue time for the rescue activity, and is good in application prospect.

Description

technical field [0001] The invention relates to an emergency material scheduling optimization method for multi-disaster-affected points-multiple rescue points, and belongs to the technical field of emergency material scheduling. Background technique [0002] All kinds of sudden disasters and accidents pose a huge threat to the development of human society and the safety of people's lives and properties. Sudden events are usually characterized by uncertainty, urgency and strong destructive power. Once they occur, they will bring huge harm to human beings. loss. China is a country prone to natural disasters. Over the past 10 years, on average, more than 200,000 people died of abnormalities and more than 2 million people were injured and disabled each year due to natural disasters, accidents, public health and social security incidents. In order to reduce casualties and economic losses caused by emergencies as much as possible, the emergency dispatch of emergency supplies has ...

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Problems solved by technology

[0007] From the above analysis, it can be seen that most scholars study the transportation and scheduling of relief materials by establishing quantitative models. The research involves various angles, and the research is relatively comprehensive, and has achieved varying degrees of results, which has promoted the progress of research on emergency logistics material allocation. However, there are few related studies on the multi-rescue point-multi-disaster point material scheduling problem in the emergency material scheduling problem under uncertain conditions. For example, Ben-Tal et al. established a cell transport model-based Optimal dynamic traffic allocation model to reduce the risk caused by the uncertainty of the demand point demand in the relief supply chain; systematic and in-depth research is still needed

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