The Research Of Emergency Logistics For Vehicle Scheduling Under Military And Civilian Integration

In recent years, domestic and international natural disasters, public health emergencies, terrorist attacks and other emergencies happened frequently. After the unexpected disaster event occurs, countries, governments have to put in a lot of manpower, material and financial resources to mitigate emergencies caused casualties and property losses. With the Chinese government and army anti-SASS epidemic, earthquake relief (Wenchuan, Yushu), floods (Zhouqu), the victory drought relief, academia and relevant departments of the attention in this area, emergency logistics management is becoming a discipline Logistics is a new field of interdisciplinary research at the same time, the increasing breadth and depth of research. Emergency Logistics System military and civilian integration issues related to proposed vehicle scheduling, research and construction, will effectively improve the disaster relief, social and economic benefits at the conflict.In this paper, disaster relief, at the sudden demand on the logistics of departure, through the logistics of emergency status and lack of analysis and learn the advanced experience of foreign emergency logistics, proposed the construction of military and civilian integration with Chinese characteristics, the proposed emergency logistics system. On this basis, structure and function of this system from two aspects of military and civilian integration was the first time, emergency logistics system design and build.In order to better address regional distribution transport "last mile" problem, this paper study vehicle scheduling problem as the main object, the vehicle scheduling problem with deterministic results based on the theory of fuzzy mathematics, fuzzy scheduling problem under the condition of the vehicle Model and study the various algorithms to improve the efficiency of rescue vehicles. The first chapter reviews the problem of emergency logistics and VSP results, finishing them, summary description of the problem situation, clear line of research, methods and technical routes. The second chapter of the emergency logistics, vehicle scheduling literature provides an overview and analysis of the concept of research questions, content with the specific conditions of China’s emergency logistics were defined. Chapter III of the military and civilian integration problems in emergency logistics are analyzed and proposed counterm easures.Chapter IV is to build on in the last chapter of military and civilian integration of fuzzy vehicle emergency logistics scheduling problem to the vehicle travel time information on fuzzy parameters, in order to minimize the shortest time and cost targets for the decision to establish a mathematical model of the problem, Given the genetic algorithm to solve the model shows that the solution of ideas, calculation steps, and make a numerical example.In a further study found that lower costs, on the one hand and the transport distance, the shorter the transport distance, the lower the cost; the other hand, with the transport time-related, that is, the shorter transit time, lower the cost. Chapter V uses a random fuzzy logic genetic algorithm to solve the vehicle scheduling transportation problem. Fuzzy logic is mainly used to adjust the crossover and mutation rate of genes, thus demonstrating the effectiveness of fuzzy logic genetic algorithms. And through the use of standard genetic algorithms, simulated annealing, tabu search algorithm to solve the model, and the results were compared, we find that the performance of fuzzy logic genetic algorithm is superior to other algorithms. Chapter Ⅵ from a macro perspective on the establishment of the emergency vehicle routing logistics system corresponding indicator system and assessment model, and an example show that the method and assessment of the scientific validity of the results.Chapter VII of the full text of the summary and outlook, at present, China’s disaster relief system has not yet formed, at the sudden emergency logistics system, the results of this study of military and civilian integration for emergency logistics system construction and the corresponding vehicles under fuzzy information Scheduling the micro and macro research with a certain reference value.