Demand Forecasting and Replenishment Model for Auto Service Parts Considering Parts Life Cycle
Date Issued
2008
Date
2008
Author(s)
Wu, Pei-Hsuan
Abstract
As service parts industry is more and more important, the inventory related issues of service parts industry become much popular in the supply chain management’s study. One of these issue is that how to improve service level but not to increase inventory level too much. This thesis starts from the issue, we select auto service parts as an example. By considering parts life cycle, we develop a parts demand forecasting model to improve the parts demand evaluation process. By using the real data to test the model accuracy, we choose the fixed-period replenishment inventory system as an example. Finally, we discover that the performance of the new demand forecasting model we developed is much better than the model H company is now using. Based on the result of the new model performance, H company can improve it’s low service level in the auto phased-in period and just increase few inventory quantity. Besides, H company also can reduce the averaged annual inventory quantity and maintain the well service level as a whole. So we suggest that H company can apply the new model we developed in some parts that faced the back-order problem to control it’s inventory policy.
Subjects
service parts
parts life cycle
demand forecasting
Type
thesis
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ntu-97-R95741031-1.pdf
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