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面向客户服务的设备维修管理系统研究与实现
引用本文:暴志刚,顾新建,叶作亮,王志宏,胡恒杰.面向客户服务的设备维修管理系统研究与实现[J].计算机集成制造系统,2007,13(7):1437-1443.
作者姓名:暴志刚  顾新建  叶作亮  王志宏  胡恒杰
作者单位:浙江大学现代制造工程研究所,浙江杭州310027
基金项目:国家高技术研究发展计划(863计划) , 国家自然科学基金
摘    要:为解决传统售后维修服务管理中存在的诸多问题,结合工作流技术和数据挖掘技术,提出了面向客户服务的设备维修管理系统.分析了系统的功能模型和体系结构,具体描述了采用数据挖掘技术进行设备维修服务预测与预警的算法,以及基于工作流技术的设备维修管理系统的开发和实施流程,研究了维修服务流程的建模,以及该系统与企业现有系统的信息交互模型和集成所需的技术和方法.最后,结合纺织机械行业为客户提供维修服务的实践,开发了实际的应用系统,并取得了良好的应用效果.

关 键 词:客户设备维修服务  工作流管理技术  数据挖掘  企业应用集成  客户服务  设备  维修管理系统  研究  customer  service  oriented  management  system  maintenance  效果  应用  实践  机械行业  纺织  方法  集成  信息交互模型  企业  建模  服务流程  实施流程
文章编号:1006-5911(2007)07-1437-07
收稿时间:2006-06-16
修稿时间:2006-06-162007-01-29

Equipment maintenance management system oriented to customer service
BAO Zhi-gang,GU Xin-jian,YE Zuo-liang,WANG Zhi-hong,HU Heng-jie.Equipment maintenance management system oriented to customer service[J].Computer Integrated Manufacturing Systems,2007,13(7):1437-1443.
Authors:BAO Zhi-gang  GU Xin-jian  YE Zuo-liang  WANG Zhi-hong  HU Heng-jie
Affiliation:Institute of Contemporary Manufacturing Engineering, Zhejiang University, Hangzhou 310027, China
Abstract:To deal with problems in traditional after-sale maintenance service management, the equipment maintenance management system oriented to customer service was presented by using workflow management and data mining technology,. The functional model of the system and the architecture based on J2EE application server were analyzed. Algorithm to implement the forecast and warning for the equipment maintenance service, the development and implementation process of the equipment maintenance management system based on workflow technology were described in detail. Modeling of the maintenance service workflow, and the information exchange model of the system with other application systems and the integration technology and methods were described. Finally, a case of providing maintenance service for customer in textile machine industry was provided to illustrate the application prospect of the proposed system.
Keywords:customer equipment maintenance service  workflow management technology  data mining  enterprise application integration
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