Decision-making Research Of Inventory Management Based On Markov Theory

Since the stock issue has been raised, whether academics or business people pay more of their attentions to it. They want to find the best inventory management methods, the best inventory management models, the greatest inventory management theory from various different channels, different angles, the use of different methods for their research and exploration. Thus, a variety of ideological and theoretical inventory management theory are appeared and a variety of inventory management methods have been developed, such as pushing inventory management methods and pulling inventory management methods. To some extent, these inventory management theories are very perfect. However, because the study of each has its own restricted conditions, therefore, to the actual enterprise or company, Not all management methods are feasible and the best. So, how to choose the appropriate inventory management projects, how to put the implementation of inventory management strategy, How to make a correct inventory management decision-making have become the very urgent issues. This article makes use of the most sophisticated random mathematical theory --Markov latest theory from a new perspective to solve these problems.Firstly, it is requisite to be clarified that: This paper has two innovation points. Firstly, Innovation is the research perspective. Due to previous research inventory management decisions are from the perspective of enterprises or companies, Inventory internal problems through research To study the inventory management decisions, such as Research warehouse and optimize the structure, the minimal inventory turnover, inventory control, etc. then, we can choose enterprise inventory management methods and make enterprise inventory management decision-making. And this is from a new perspective -- external clients to analyze the effect of inventory management. Through studies of the effects of inventory management solution for the customer——the text of the speech customer satisfaction changes to make decisions on inventory management; Secondly, this paper is to use the existing research on the theory of stochastic modeling. Thereby establishing a new model, executives use the model to make decisions. In addition, the actual author of this article, according to the specific circumstances, Optimize of the existing model, demonstrate the feasibility of this model and put on the corresponding countermeasures in the implementation .In addition, it is requisite to show that: As the inventory management area belongs to the field of commodities, By the nature of commodities——the relative small historical influence, to some extent, inventory management system can be said the results of a non-stochastic dynamic systems. This is in line with the theory of stochastic model --Markov theory, therefore, this paper introduces into Markov theory and models for the existing warehouse inventory management problem. From the perspective of customer satisfaction, this paper establishes inventory management decision-making model. Ranging from the feasibility of practical implementation, this paper establishes the more practical and more convenient read optimize inventory management decision-making model over again. In the following, this paper will chiefly introduce the inventory management decision-making model and its optimized model.Specific way is that: Firstly, we identifies enterprise inventory management program implemented customer satisfaction degree as targets of Markov predicting model, and divides them into five discrete artificial states(Very satisfied, satisfied, not identified, not quite satisfied ,unsatisfactory );Secondly, we statistic each customer satisfaction degree numbers before and after the implementation of some inventory management strategy, clear into the transforming instances, determine the proportion of number and the number transfer ratio, determine the proportion of the number of variables for the state probability vector, while determining the number of transfer probability proportional for the transfer of state variables, then establish a state of transition probability matrix ; Finally, in this paper, we make a model and process its prediction. By comparing to the results, we find out which inventory management program's effect is the better, then we make the optimal decision. Considering the maneuverability and convenience of the actual operation of this model, This paper proposes the use of computer technology to simulate the operation of enterprises in various inventory management program ,then statistics the data and makes the optimal inventory management decision-making model,finally,makes the decision.Specific model :①prediction model for the study of the state are very satisfied, satisfied, not identified, not quite satisfied , unsatisfactory.②the study of the state transition matrix P : Where n-th grade, said the first few customers. and the n-th level, said the operation belong to the customer satisfaction level of customers into j few, and they satisfy = 1. 0 P (i, j = 1,2,). q=5.Specific optimization model:①S = (i-j) = p (i, j =…, 5). S which P called the transfer, and (i-j)as the weight of Health. I-j value of the said increase or decrease the size and the degree of positive and negative index "3" is used to adjust the right major and small pluses and minuses.②, as the improvement of the transfer matrix p matrix.③is known as the degree of efficiency of the transfer matrix P:Finally, according to the data operated different inventory management strategy, Enterprises use the Markov model of customer satisfaction, calculate the matrix p model of efficiency, make decision by comparing to the efficiency. For instance, enterprises use two inventory management simulated, due to E_s甲＞E_s乙, it is obvious for the company. A stock companies in customer satisfaction from the program than on the B inventory management programs to a high degree of satisfaction with the transfer. Therefore, the implementation of a company inventory management program obviously is better than B program. A inventory management program should be used when the company is in the production and operation.