Research Of Warehouse Slotting Optimization For K Electronic Company

Traditional warehousing operation management is still in the followed years of habit and experience to place goods, not only waste storage space, but also makes the warehouse work efficiency is low, so storage slotting optimization this concept will come into being. Storage slotting optimization is to improve warehouse space utilization rate and efficiency of a kind of potential method, as well as the current storage management development inevitable trend. The traditional warehouse operation management due to follow the habit of for years, relying on experience to place items, goods often placed in could reach the latest slotting, usually does not consider the dynamic changes of the goods and the customer demand, therefore cause process speed slow, warehouse utilization rate is low and insufficient space to use. Therefore, slotting optimization application is born, slotting optimization management is aimed at the characteristics of each type of goods, for it to determine a proper storage way, according to the storage way as the goods distribution storage space. In order to make the warehouse operation can use the same labor or cost to do more work, provide more quickly and more considerate service.To K electronic company existing warehouse management and analysis at home and abroad for reference to the warehouse slotting optimization research achievements identify storage slotting optimization model. Through the model analysis, seek a suitable algorithm to find the solution to the model, and to solve the data after the simulation analysis to verify the correctness of the algorithm.The first is to establish the optimization model. On the analysis of logistics management is proposed on the basis of the concept of slotting optimization. Combined with the optimization of the goods storage strategy and the principle of distribution of goods, established a turnover of goods in order to improve the efficiency as the goal, at the same time can satisfy the shelf stability requirements of the slotting optimization model. The paper study the warehousing related theory and genetic algorithm related knowledge and in theoretical study and analysis of the WMS based on genetic algorithms are used to establish the mathematical model of storage slotting optimization.Second is the use of genetic algorithm to solve the model. Based on the existing slotting optimization processing method is analyzed, and adoption of multi-objective genetic algorithm is proposed to solve the optimization problem, application and try to compromise method to solve the optimization model. Through the model analysis, we can find storage slotting optimization is actually a multi-objective problem. For warehouse operation management, different storage managers focus on goal often is different, therefore, in the use of genetic algorithm before through the weight coefficient variation method of multi-objective problem will be converted to a single objective problem, and use genetic algorithm, so storage management can according to the actual situation of warehouse set different weight coefficient to the warehouse slotting optimization. In order to validate the correctness of the algorithm, and the data are analyzed.Finally, in this paper the end of topic research work was summarized, and the later research puts forward target and direction.