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
fDate :
June 30 2012-July 2 2012
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;
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
DOI :
10.1109/ICSSE.2012.6257254