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Aiming at the promotion of logistics transportation in the stacking sale goods evacuation, it has been to lack of complete and effective theoretical analysis of this issue. By analyzing the changes of logistics data, the massive stacking sales of goods are taken as the foundation, to carry on the analysis model. The improved max min ant algorithm is used as theoretical basis for the model establishment, the results of commodity sales project profit is taken as the example after logistics supply chain route optimization, to input distribution profit model to make analysis. After logistics route optimization in the special area, the distribution of products is quantified. Experimental results show that the level of market sales, market share rate and changes of profit growth rate are described in proposed model, and the model has higher application value. Introduction With the development of market economy, how to realize the fast selling goods has become an important problem of commodity enterprises concerned, the success or failure of sales is the key factor to determine the relevant enterprise survival. Under the conditions of market economy, enterprises who wants to enhance the competition ability and economic benefits, the key process is to solve the problem of the marketing efficiency of product introduction, also is to use the minimum cost of sales and the highest efficiency, to make product to market, and meeting to the needs of the consumers, to achieve the goal of business strategy. The importance of logistics convenience in the field of goods sales gradually increased, commodity sales coordinating with convenient logistics mode, can promote the circulation efficiency of sales of commodities, which has the important role in the commodity distribution [1,2]. Therefore, to find a reasonable method to obtain the relationship between stacking commodity sales and logistics convenience, has become a hot issue in the analysis of enterprise sales management. In some special area, logistics are extremely inconvenient, the related problems existed in commodity distribution. current selling analysis mode, [3,4,5,6] cannot adapt to the randomness, diversity characteristics of commodity sales brought vy special regional logistics factors, the analysis process is easy to fall into local optimum state, it cannot make full analysis for the logistics factors in the distribution process, without considering the logistics transportation factor in sales in the obtained results, there is a certain deviation, which cannot accurately reflect the profit situation of commodities, there is a big flaw. Analysis and modeling of logistics convenience based on improved max min ant algorithm This paper presents an improved max min ant algorithm to optimize and analyze the logistics supply chain factors in stacking commodity sales. The improved algorithm can avoid the drawbacks of logjam appeared in traditional algorithm, to ensure that the selection and optimization steps goes on smoothly in analysis. Ensuring that under different logistics condition, the interval of the number of the remaining commodity in stacking commodities is min max [ , ] τ τ , min τ is used to avoid the standstill of the algorithm, max τ is used to constrain the infinite diffusion of algorithm, to reduce the time of information exchange between ants in the analysis algorithm, and generate more information in the frequent path, which can improve the effect of positive feedback of analysis algorithm. The pheromone updating function in algorithm is: International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2015) © 2015. The authors Published by Atlantis Press 1308

Analysis model of logistics supply chain factors in large-scale stacking goods