• DocumentCode
    2833179
  • Title

    Research of after-sales service management system based on web

  • Author

    Cai Dongdong ; Zhang Tianrui ; Wang Xiao

  • Author_Institution
    Sch. of Econ., Shenyang Univ. of Technol., Shenyang, China
  • fYear
    2012
  • fDate
    June 30 2012-July 2 2012
  • Firstpage
    582
  • Lastpage
    587
  • Abstract
    Based on deep analysis and discuss the research status and insufficient of the after-sales service, this thesis mainly studies several aspects of the networked after-sales service system, which include key technologies, supervision and quality evaluation, the development of web-based after-sales service management system and so on. On this basis, a three-tier B/S architecture which uses the .NET technology was proposed which can separate the presentation logic and business logic; a analysis mode applying Data Warehouse, LAP and Data Mining Technology is proposed which can analyze data and support data mining and decision-making. Besides, it is a integration model of the after-sales service system based on the web service technologies. Finally, according to the present status of domestic enterprises, a solution scheme of the after-sales service used on the network was proposed, which suitable for domestic enterprises. Each function module of the after-sales service system is designed in the scheme. These function modules can help the enterprises achieve processes, automation and intelligence. According to the function modules the management thought and system design of after-sales service will be better showed. The function modules can also provide the theoretical and methodological guidance for the after-sales service of the enterprises.
  • Keywords
    Web services; data mining; data warehouses; sales management; .NET technology; LAP; Web service technologies; Web-based after-sales service management system; business logic; data mining technology; data warehouse; decision-making; enterprises; networked after-sales service system; presentation logic; quality evaluation; three-tier B/S architecture; Automation; Data mining; Educational institutions; Fault diagnosis; Maintenance engineering; Personnel; after-sales service; after-sales service management system; data mining; fuzzy analytic hierarchy process;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Science and Engineering (ICSSE), 2012 International Conference on
  • Conference_Location
    Dalian, Liaoning
  • Print_ISBN
    978-1-4673-0944-8
  • Electronic_ISBN
    978-1-4673-0943-1
  • Type

    conf

  • DOI
    10.1109/ICSSE.2012.6257254
  • Filename
    6257254