This paper presents a model of customer purchasing behavior prediction, which would contribute in automobile mass customization field to shorten the delivery period. By the application of artificial neural network method, customer's attributes, behaviors before final decision and previous cases could be learned by machine and be used to predict his / her future behavior. Based on customer behavior theory and automobile sales knowledge, 13 attributes or behaviors were selected as observation points, i.e. input data. In the given case, 87.4% of all 450 samples were correctly judged by the model.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    An optimal method on automobile mass customization delivery period based on customer behavior prediction


    Contributors:
    Jun Ma (author) / Yang Liu (author) / Wenxia Xu (author) / Can Wang (author)


    Publication date :

    2014-08-01


    Size :

    229621 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A WWW-Based Customer-Driven Product Design and Manufacturing Solution for Mass Customization

    Zhao, X. / Sheng, B. / Hu, Y. et al. | British Library Conference Proceedings | 2003



    Automobile seat design method capable of realizing personalized customization and automobile seat

    HE BIN / GE SHANGYUAN / ZHANG XIYAN | European Patent Office | 2025

    Free access

    Modularized automobile rear-row seat framework structure based on performance customization

    XU DONGKAI / YUAN JINGXI / YANG ZHIHUI et al. | European Patent Office | 2024

    Free access

    AI Based Solutions for Manufacturing Mass Customization

    Usatorre, Luis / Morella, Paula / Sedano, Iñigo et al. | Springer Verlag | 2025

    Free access