| A quickly increasing car population and demand enlarge the market for service and spare-parts day by day. Meantime, the inventory system of automobile spare is of characters such as category numerous, demand and lead time highly uncertain etc. Besides, phenomenon of"Trade-Off"also exists between huge inventory carrying costs and low service level for customers. Reducing the inventory cost while maximizing fill rate becomes a focus study topic in recent years, but some former researches are not exploited their objective to satisfy the service level but to minimize total inventory cost only. Besides, other researches study on static inventory model. Thereby, dynamic order strategy on the goal of minimizing the inventory total costs subject to a target service level will be a valuable research perspective in practice what if this strategy combines with the dynamic requirements in category, time and quantity in accordance with automobile spare parts.This paper therefore represents firstly the operation pattern of logistics network of automobile spare parts from one Auto Manufacturer V in China. Aimed at the characters of spare parts especially such as category numerous, Three-Dimensional Classification is proposed combined with order policy of spare parts and taken a trial to establish the relationship between order policy and category of spare parts. Meantime, Strategy(R, st, ST) offered is a kind of dynamic order strategy integrated with inventory control parameters with Inventory Check Cycle (R), Dynamic Reorder Point (st) and Dynamic Order Quantity (ST) and is set the goals with a target service level while minimizing of total inventory cost. It takes into accounts the dynamic requirements in category, time and quantity in accordance with automobile spare parts. Simulation experiments were performed by ARENA 10.0 to represent the performance of Strategy(R, st, ST) and the optimized strategy is given. Outcomes simulating show that dynamic Strategy (R, st , ST) enables to carry out dynamic inventory management and control by parameters R, st , ST for automobile spare parts. Also a goal under a certain target service level while satisfied the minimization of total inventory cost can be come true.The main contents of each chapter is given respectively as below:Chapter one: The background, purpose and significance of this research are expatiated, and study contents and methods are introduced, too.Chapter two: Operation pattern of logistics network of automobile spare parts from different Auto Manufacturer V at home and abroad is introduced, and the characters of spare parts logistics is analyzed. The current problems of spare parts logistics are offered based on the characters of spare parts logistics so as to determine the control goal of spare parts inventory and what to study.Chapter three: Three static inventory model are analyzed based on the introduction of inventory theory, and the characters and applicability of static inventory model are offered. Then Strategy(R, s_t, S_T) integrated with inventory control parameters with Inventory Check Cycle (R), Dynamic Reorder Point (st) and Dynamic Order Quantity (ST) is offered by theoy analysis and practice investigation and study.Chapter four: Three-Dimensional Classification is proposed combined with order policy of spare parts based on the theory of ABC classification, aimed at category numerous, diversity great, combined with three basic inventory elements, X Demand, Y Item Price and Z Variation of Demand to classify all spare parts, which is used to guide order strategy, and a example was used to prove the availability of the classification method.Chapter five: Simulation experiments were performed by ARENA 10.0 to represent the performance of Strategy(R, s_t, S_T) and the optimized strategy is given. At first, it analyze three main activities in ordering process, and give the measurement model of Strategy (R, st ,ST) by analyzing the effects on decision-making parameters in the objective parameters. It determines the decision-making parameters R, t, T by system simulating. Then it gives the verification of Strategy (R, st , ST), i.e., verification of Strategy(R, st , ST) is to prove whether the optimum value t and T is still optimum as the demand changes in the future. Finally, with an example of a kind of spare part with three-dimensional coordinates as (XA, YA, ZB), gives the optimized order strategy at ten values of target service level. The result indicates that the Strategy(R, Qi×t, Qi×T)makes true the dynamic management and control of spare parts inventory system.Chapter six: This chapter summarizes the main research and analyses the further study that are needed to do. Besides, analyzes the development trend of spare parts and gives the related proposals.The main results of this dissertation are as follows:(1) Operation pattern of logistics network of automobile spare parts from different Auto Manufacturer V at home and abroad is introduced, and the characters of spare parts logistics is analyzed. The current problems of spare parts logistics are offered based on the characters of spare parts logistics so as to determine the control goal of spare parts inventory and what to study.(2) Three static inventory model are analyzed based on the introduction of inventory theory, and the characters and applicability of static inventory model are offered. Then Strategy(R, s_t, S_T) integrated with inventory control parameters with Inventory Check Cycle (R), Dynamic Reorder Point (st) and Dynamic Order Quantity (S_T) is offered by theoy analysis and practice investigation and study.(3) Three-Dimensional Classification is proposed combined with order policy of spare parts based on the theory of ABC classification, aimed at category numerous, diversity great, combined with three basic inventory elements, X Demand, Y Item Price and Z Variation of Demand to classify all spare parts, which is used to guide order strategy, and a example was used to prove the availability of the classification method.(4) It gives the measurement model of Strategy (R, s_t, S_T) by analyzing the effects on decision-making parameters in the objective parameters. and determines the decision-making parameters R, t, T by system simulating. Meantime, it offers the verification of Strategy (R, s_t, S_T), i.e., verification of Strategy(R, s_t, S_T) is to prove whether the optimum value t and T is still optimum as the demand changes in the future.Finally, with an example of a kind of spare part with three-dimensional coordinates as (X_A, Y_A, Z_B), gives the optimized order strategy at ten values of target service level. The result indicates that the Strategy(R, Q_i×t, Q_i×T)makes true the dynamic management and control of spare parts inventory system. |
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