Research On The Performance Evaluation Of Inventory Control In Supply Chain

Recently, the international surroundings have been changing a lot. The society has started to enter the era of industrialization and came to be the knowledge and economy one. For these enterprises, they face new opportunities and challenge: technology has been still improved; the market and labor competition has gradually globalized; the customers need has been developing in the direction of diversification and individuation. It's much more difficulty to search and develop the product. The important target of the company's operation is that how to reduce the cost but increase efficiency, on the basis of meeting the customers need quickly and effectively. Under the background, more and more enterprises are considering to operate in the model of supply chain. While the inventory control not only influences the integrative cost, but also limits the function of the whole supple chain. Thus, it's necessary to evaluate the performance of the inventory control, which could realize the effective inventory management and optimization.The performance evaluation of inventory control in supply chain is the part of supply chain. Some scholars have probed into it. For example, someone presented evaluating the performance using analytic hierarchy process and fuzzy synthetic evaluation; the other one promoted the method to choose the best scheme in inventory control using fuzzy analytic hierarchy process, but it didn't take a long time to develop the theory of inventory control in this field. So it is the new topic to research aimed at the field.Based on the related theory research and practical needs of supply chain inventory control, the thesis promotes the idea which has important significance on the performance of inventory control. The thesis is in the core of performance evaluation of inventory control, analyzing the characteristic of index, founding effective performance system; establishing the index weight using triangle fuzzy analytic hierarchy process, transferring the qualitative analytics process into the quantitative result; and applying the specific data on the model, whose science and practice will be tested.