A Study About The Perishable Product Inventory Based On The Cost Control In VMI Environment

Perishable product in people's daily life can be seen everywhere. As perishable product life cycle is short, strong season, making the consumption of such commodities of great uncertainty, this will not only cause retailers inconvenience, and it will also give providers of inventory management much difficulty, thus enhancing the inventory management of perishable goods in order to regulate the supply and demand effectively is of great significance. In addition, in the current increasingly competitive market environment that emphasis on supply chain management , inventory management, although the downstream of supply chain, but once mastered the downstream demand and inventory information of the providers, we can provide the upstream production with the useful information that can affect the entire supply chain. Thus, strategic planning related to inventory management theory and practice has become an important issue to be resolved. However, through analysis of related literature can be found, the current inventory management for perishable goods either from research or from the breadth and depth, it is far behind the non-perishable product inventory management research, it is difficult for the actual operation produce meaningful guidance. For this reason, this study will be as perishable goods, the supply chain of perishable goods corresponding inventory control problem.Through this literature review and field research methods, the use of inventory management, perishable goods theory and the theory of stochastic processes, the in-depth analysis and research on vendor managed inventory model for perishable goods inventory control problem is given. By analyzing the inventory management literature at home and abroad about perishable goods, a comprehensive overview of this problem is given. For the constraints of the inventory control cost is minimal, and its ultimate goal is the optimal total cost, so the research object of this paper is, from the perspective of cost control, solving the supplier inventory problem. Consider the issue at this point of view, generally there are three alternative integrated delivery models. But considering the characteristics of perishable goods as well as the sensitivity of the time, the delivery mode based on the time will be more suitable for the supplier inventory management based on VMI mode. And this model is the focus of this dissertation. Assuming that the requirements of downstream retailers to obey a certain number of random distributions of the premise, a supplier for inventory control model about the perishable goods based on time is established. In order to give a more suitable perishable rate which is in line with actual control needs, the segmented fuzzy membership function is used to model the rate. By using the inventory management theory and the random process theory, the optimal control strategy will be given. And this strategy can solve the stochastic demand in the case of retailers, suppliers, delivery and when the corresponding optimal inventory problem. Finally, we use actual survey data to verify the model constructed, and the results of sensitivity are analyzed too. Through studying various parameters on the optimal inventory policy and the average cost of inventory, the result is as followed. Expected demand per unit time obtained changes the greatest impact on cost, unit cost of procurement of goods, followed by the other parameters on the final results are small.