Company A New Car Aftermarket Spare Parts Ready Project Improved

The rapid development of Chinese auto market and rapid increase in social ownership cultivate the huge automotive after-sales service market and promote the formation of automotive aftermarket supply chain. Automotive service part is an essential part of aftersales service. The availability of service parts can influence and determine the quality of service in a large scale. When all car manufacturers in China continue to launch new vehicles aggressively, it is a big challenge for automotive aftersales departments to achieve the new vehicles'availability target. From supply chain management perspective, the accuracy of demand forecast is a key factor to secure appropriate inventory level as well as service availability. Especially for initial stocking, the accuracy is getting more crucial because inaccurate forecast may cause unexpected surplus or shortage in stock and will results in wasting money as well as customer dissatisfaction.The thesis is to solve the aforementioned practical problem, which exists in new model launch service parts preparation project in automotive company A, with utilizing the combination of project management theory, such as WBS, critical path and the theory of constraints, and the theory of supply chain management, such as demand forecasting and ABC classification. Regarding the New Model Launch Service Parts Preparation project, the thesis found the main constraints affecting the project performance after analyzing the progress of the project, designed a new process against the major constraints -- New Model service parts forecasting process, developed a forecast Access tool and verified the forecast results is ideal with the simulation results. On the other hand, the Access tool can help to greatly reduce the inventory costs while certain availability target is achieved and help to further enhance the profitability. Finally, this thesis also brings up our recommendations on the distribution strategy of new car service parts and knowledge management of new service parts forecast.