Research On Logistics Network Optimization Of Z Group Based On Genetic Algorithms

Coal is one of the most important energy sources in China,occupying a dominant position in energy production and consumption structure.However,the distribution of coal resources in China is uneven,presenting a pattern of "rich in the west and poor in the east,with more in the north and less in the south".On the one hand,the mismatch between China’s coal production and consumption areas has led to multiple coal logistics links and long transportation routes.On the other hand,the current cost of coal logistics in China is relatively high.Z Group is a large energy enterprise in China,but with the development of the industry and the intensification of fluctuations in the coal market,coal logistics costs still account for a high proportion.The logistics network that has been used in the past has problems of insufficient diversity and high costs,and it is necessary to optimize it.Firstly,based on the research background,the thesis summarizes the current research status at home and abroad,reviews the basic theory of coal logistics network and logistics network optimization algorithms,and selects genetic algorithm as the subsequent model solving method through comparison.Then,the development status of Z Group’s coal logistics network mining,outsourcing,transportation,and sales was introduced,and the complex coal sales price system and high price fluctuations were analyzed;The selection of transportation routes and ports still follows the traditional route,which poses a practical problem of high logistics costs.To address these issues,a planning model was constructed with the goal of minimizing the total cost of the logistics network.The total cost is mainly divided into three parts,including coal mining and outsourcing costs,coal transportation costs,and coal loading and unloading costs.The model divides the coal logistics network into three layers: the first layer is the coal resource point,the second layer is the transportation center point,and the third layer is the terminal customer point.It needs to meet the constraints of coal transportation volume between nodes,the production capacity constraints of coal resource points,the coal demand constraints of terminal customer points,and the conservation constraints of transportation node flow.The thesis follows the optimization model of coal logistics network and solves it using genetic algorithm.The results obtained demonstrate the effectiveness of the model.The optimization model expands the available coal resource points to increase procurement volume for coal resource points with more advantageous prices;Incorporate more railway lines and ports into the logistics network to reduce transportation and loading and unloading costs;Adjusting the transportation volume of each logistics node has achieved the goal of reducing the total cost of Z Group’s coal logistics network.The analysis of the solution results found that optimizing the selection of Z Group’s coal resource points has the greatest contribution to reducing the total cost of coal,and has a good optimization effect on the transportation and loading and unloading costs of Z Group’s coal.There is a large optimization space for the diversified application of transportation nodes and routes.Finally,in order to further improve the logistics network of Z Group,it is recommended to establish a special working group,pilot logistics network optimization plans,optimize organizational structure,and build an intelligent integrated logistics platform.This thesis has 8 figures,20 tables,and 69 references.