A neural network based method for part demands prediction in auto aftermarket

@article{Yu2010ANN,
  title={A neural network based method for part demands prediction in auto aftermarket},
  author={Li Yu and Yun Chen},
  journal={2010 IEEE International Conference on Software Engineering and Service Sciences},
  year={2010},
  pages={648-651}
}
  • Li Yu, Yun Chen
  • Published 2010 in
    2010 IEEE International Conference on Software…
In the supply chain management of auto aftermarket, companies strive to manage inventory with low cost while maintaining a reasonable order fulfillment rate. To achieve this objective, a critical issue is to predict the demand for auto parts with high accuracy. Based on the factors relevant to auto aftermarket, this paper proposed an artificial neural network based method to forecast the demands of auto parts. The effectiveness of the proposed method is illustrated with a case study of an auto… CONTINUE READING