Research On Combinatorial Optimization Of Inventory And Distribution In Chain Operation Logistics

Today, more and more enterprises have adopted the chain operation. Therefore, it is of great significance to study the way to optimize the inventory and distribution in the logistics of chain operation enterprises, so as to reduce the total cost and enhance the profit.The paper firstly summarizes the current studies from China and abroad on the topic of inventory and distribution combinatorial optimization. Then the paper introduces the relevant knowledge about the inventory and distribution in the logistics of chain operation. Finally from the perspective of systematization and integration, the paper focuses on optimizing the inventory and distribution in the chain operation system, which is composed of a single distribution center and many chain-stores, under the conditions of multi-commodity and determinate demand.The paper presents a combinatorial optimization model for the inventory and distribution in the chain operation system, and finds the optimal solution of the model with iteration method. The iteration goes in this way:first, a formula similar to economic order quantity (EOQ) is used to get an initial optimal solution; then, a more optimal solution is attained by iterating the average value. In order to obtain the system distribution costs corresponding to order quantity, the paper specifically establishes a model to solve the transportation costs in distribution, and designs a genetic algorithm to solve the model. Via the model and algorithm, we can get the optimal distribution route and minimum transportation costs.The paper develops a console program with the C# language, by which we can solve the models mentioned before. Finally, the program is proved aright and practical by an example, which in return demonstrates that the models are correct and the solution is reasonable.