Research On The Optimization Of The Distribution Of TFGL COMPANY

With the development of science and technology, the progress of the times, the degree of opening to the outside world is wider than before, people’s demand is more diversified and personalized. The change of demand to make large quantities, large scale and less variety production mode gradually turned to multi-varieties and small batch production, large and small and the business model is gradually being abandoned by market exchange, money, and the amount of information is increasing. The global trend of economic integration and the degree of market competition increasing, the connotation and extension of the modern logistics also continue to extend and expand, new mode of logistics, logistics and distribution along with the formation of the and development and more and more attention. The development of the society put forward higher request to the logistics and distribution, logistics distribution is one of the core contents of modern logistics, so it is necessary to study the path optimization problem of logistics distribution.Firstly, this paper analyse the about logistics distribution optimization problem of the background, purpose and significance, and the domestic and foreign logistics distribution optimization problem on the research background are summarized, and put forward the current at home and abroad, the problems existing in the study of logistics and distribution. Clear the research ideas and methods of this paper. About logistics distribution concept and the characteristic and working process are introduced, and on the current operation status of global logistics company are analyzed, Tongfang global logistics logistics company on the existing problems and the need to solve the problems are pointed out. Aiming at the problems existing in the Global Logistics Co., Ltd., the objective function is set up to minimize the total cost of logistics distribution, and the mathematical model of logistics distribution path optimization is established. And the established model are analyzed, design the integrated heuristic algorithm based on genetic algorithm and simulated annealing algorithm, in the algorithm design process. First of all, the use of logistics and distribution in the scan algorithm produces the initial solution. Secondly, considering the genetic algorithm in solving the asked question is likely to fall into local optimal solution. Therefore, combined with the simulated annealing algorithm, to avoid the emergence of this kind of situation, which guarantees that the resulting solution for the global optimal solution.Finally, the correctness of the model and the validity of the algorithm are verified by an example of the same company. First of all, through the research of the basic data of the global logistics company, the data input is generated. And using mathematical optimization software Matlab programming, the results of the optimization, and the optimization results are analyzed. Finally, the comparison of the calculated results with the current operating data of the same side global logistics company shows the superiority of the model and algorithm.