摘要
提出了一种基于贝叶斯网络的计算机硬件保修成本分析模型。随着计算机硬件厂商保修过程的进行,该保修成本分析模型能够利用不断更新的数据对保修成本进行动态分析,确定故障源并采取适当的应对措施降低保修成本。经实践检验,在厂家保修过程中引入该分析模型能够及时地发现硬件质量问题,达到降低保修成本提高利润的目的。
A analysis model of warranty cost for computer hardware based on Bayesian networks is presented in this paper.Using new project data obtained from the warranty process of computer hardware manufacure,it can carry through dynamic analysis of warranty cost ,identify sources of mulfunction,and take proper measure to reduce warranty cost.Practice proves that the model is capable to detect problem of hardware quality in time,and achieve the purpose of reducing warranty cost and maximizing profit.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第24期104-106,共3页
Computer Engineering and Applications
基金
国家自然科学基金(the National Natural Science Foundation of China under Grant No.70572044)
教育部新世纪优秀人才资助计划(No.NCET-04-0240)
关键词
贝叶斯网络计算机硬件保修成本故障源
Bayesian networks
computer hardware
warranty cost
sources of mulfunction
