Visualization Management Target Driven Auto Spare Parts Inventory Control Issues: Model And Evaluation

With characteristics of various kinds, complicated quantities and difficulty in predicting market demand, auto spare parts inventory control is restricted by insufficient information sharing among supply chain enterprises, hard-performing and weak visualization management support technology. So, there is much space to improve auto spare parts supply chain inventory management level. Visualization management contributes to increasing the degree of information sharing, inventory control accuracy as well as improving the level of service, as a result, it is one of the most efficient methods which can deal with issues with “information”. This dissertation aims at auto spare parts inventory control issues driven by visualization management, which includes two major problems,those are inventory control model analysis in different visualization management levels and inventory visualization management performance evaluation.Firstly, this dissertation puts forward auto spare parts inventory visualization management’s target and function demand; Secondly, analyzing different information sharing demand in primary and senior levels, respectively. Meanwhile, detailing the technology demand to build information dynamic tracking mechanism; Thirdly, constructing inventory control model in different levels driven by visualization management target based on(t, ) strategy, analyzing model variables’(φ(7, (7. and L) impact on order decision, and setting standards to quantify how visualization management increasing visibility, lowing stock and inventory cost; At last, using inventory control model to make sure the ordering point and quantity in the example analysis. Analyzing the relationship between inventory control performance and model variables deeply, quantitating the value of inventory visualization management, and giving suggestions for auto spare parts supply chain inventory management.Information demand in senior level visualization management has something to do withφ(7, (7. and L. There are four main conclusions:(1) Inventory visualization management has no direct influence on distributors;(2) Compared with φ(7, L has more influence on inventory reduction rate especially on suppliers;(3) With the increasing of φ(7and L, inventory cost increases, while the cost reduction in senior level is larger than in primary level;(4) The core enterprise’s inventory cost decreases as the visibility increases. These conclusions helps auto spare parts supply chain enterprises adjust inventory control strategy timely and make more precise order decisions, therefore, auto spare parts inventory management level can be better driven by visualization management.