Distributed Inventory Allocation Strategy Selection In Active Delivery Mode

With the widespread application of big data technology,enterprises can more accurately predict logistics demand,and the market demand for high-efficiency distribution is getting higher and higher.Building a low-cost and efficient distribution and distribution system becomes a powerful tool for enterprises to compete for the consumer market.Under this background,the active distribution model came into being.However,the limitations of big data prediction and the timeliness of the goods themselves make it impossible for any technology to achieve one-hundred percent accurate prediction.In the active distribution mode,there will be a shortage of inventory at each inventory point,so inventory transfer is a problem that enterprises cannot avoid when preparing for stocking in advance.How to construct an optimal allocation strategy,which minimizes the total cost of allocation and maintains a high level of customer service has become a core issue in the active distribution of enterprises.Based on the concept and related theory of active distribution distributed inventory transfer and relevant data which obtained through enterprise research,this paper first constructs an active distribution distributed inventory transfer cost model under two conditions:demand determination and demand uncertainty.Secondly,this paper constructs two pure strategies and one mixed strategy,which are the strategy of the highest customer satisfaction and the strategy of the minimum total allocation cost and the mixed of them.Considering the shortcomings of traditional genetic algorithm,this paper uses the improved adaptive genetic algorithm which combines the sigmoid function that is used to design the adaptive adjustment curve of crossover probability mutation probability and the Metropolis retention criterion of simulated annealing algorithm to solve the model.For different types of commodities,advising companies on the selection of inventory allocation strategies,and gives the optimal number of commodity allocations and practical allocation plan.In this paper,the various costs and total costs of the active distribution point under different allocation strategies is solved.On the one hand,in the case of demand determination,we get the optimal quantity ratio of the out-of-stock distribution point to the upper level allocation and to the same level and the allocation scheme of the out-of-stock active distribution point to the same level.On the other hand,in the case of uncertain demand,we get the optimal ratio of transferred to the same level when the distribution points have excess inventory.According to the different changes of relevant parameters,the corresponding sensitivity analysis was carried out.According to the research,in the case of demand determination,the total cost under the recent allocation strategy is less than the total cost under the minimum cost allocation strategy,indicating that it is easier to save the allocation cost and maintain certain customer service level when the active delivery point is out of stock.When the demand is uncertain,the total cost under the minimum inventory allocation strategy is greater than the total cost under the highest service level allocation strategy,indicating that the active delivery point with excess inventory is easier to maintain the surrounding customer satisfaction,and thus obtain the order income and profit.The total cost of the mixed allocation strategy in both cases is lower than the total cost of the single transfer strategy.The impact of changes in commodity prices,commodity allocation prices,and price reduction percentages on the total cost of allocation and the proportion of allocations is slightly different.But overall,the magnitude of the change is roughly the same.