W公司芯片封装质量管理系统设计
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摘要
本文以质量管理理论为基础,针对手机芯片封装行业过于繁琐的海量质量数据,建立以数据挖掘技术为基础的质量管理系统,通过对手机芯片封装质量数据的采集、分析和处理,对手机芯片的质量缺陷和不合格产品进行分析和统计,诊断造成产品不合格的原因。
本文首先回顾了国内外关于质量管理的发展历程及最新趋势,并对手机芯片封装质量管理进行了综述。在对数据挖掘、合格率管理等方面进行深入分析探讨的基础上,提出了手机芯片封装质量管理系统的设计目标、设计思路和功能模块。本文的研究工作主要有以下几个方面:1、对手机芯片封装的制造过程、系统模式进行了分析,着重研究了合格率管理和数据挖掘在手机芯片封装中的应用;2、运用数据挖掘的方法,针对影响芯片封装质量的多个相关因素,进行各因素的权重判定,确定哪些因素是影响质量的关键因素,针对影响质量的关键因素,通过对低合格率数据的提取与分析,定位封装过程中可能造成不合格产品的关键点,为质量改善提供依据;3、搜集W公司2006年5月到8月的手机芯片封装测试数据,进行实证研究,验证了所提出的研究方法的准确性。
本论文的创新点就在于从手机芯片封装中最重要的产品合格率入手,将数据仓库和数据挖掘等商业智能技术应用于芯片封装质量管理中,并结合W公司的实例进行了数据分析和验证,为企业提供了质量控制方面的决策支持,从而提高产品质量,提升企业的核心竞争力。由于作者水平有限,文中仍然对有影响手机芯片封装质量的其他因素进行关联分析等问题需要其他学者作进一步的研究。
The encapsulation of the mobile phone chip generates a large number of the quality data every day , this article will establish a quality control system based on data mining technology, which can analyze and statistics the quality defects and failure products, diagnose the causes of the failure products through collecting, analyzing and processing the mobile phone chip encapsulation quality data.
This article reviews the development course of quality control and the newest tendency in domestic and foreign at first, and carries on the summary about the quality control of the mobile phone chip encapsulation. Based on the deep analysis of the data mining and qualified rate management, this paper presents the quality control of the mobile phone chip encapsulation management system's design objectives, design ideas and functional modules.This study is mainly in the following areas: 1. This paper analyzes the manufacture process and system pattern of mobile phone chip encapsulation, and emphatically studies the management of qualified rate and the data mining in the mobile phone chip encapsulation application. 2. This paper uses data mining method, and confirms the key factors which affect the quality, through determining the weight of a number of factors which impact the quality of mobile phone chip encapsulation. This article also addresses the key factors affecting quality, through extracting and analyzing the low qualified rate of data, positions the key points which may cause failure, provides the basis for quality improvement.3. This paper collects the test data of the mobile phone chip encapsulation from W company during May 2006 to August 2006, and conducts the real diagnosis research, and confirms the accuracy of the research approach which is proposed.
In this paper, the innovation lies in using data warehouse and data mining business intelligence technology in the quality control of the mobile phone chip encapsulation, starting with the important qualified rate of the mobile phone chip encapsulation. This article takes the W company as the example to carry on the data analysis and the confirmation. It has also provided the decision support in the aspect of quality control for enterprises, thus enhancing the product quality and enterprise's core competitive ability.
本文首先回顾了国内外关于质量管理的发展历程及最新趋势,并对手机芯片封装质量管理进行了综述。在对数据挖掘、合格率管理等方面进行深入分析探讨的基础上,提出了手机芯片封装质量管理系统的设计目标、设计思路和功能模块。本文的研究工作主要有以下几个方面:1、对手机芯片封装的制造过程、系统模式进行了分析,着重研究了合格率管理和数据挖掘在手机芯片封装中的应用;2、运用数据挖掘的方法,针对影响芯片封装质量的多个相关因素,进行各因素的权重判定,确定哪些因素是影响质量的关键因素,针对影响质量的关键因素,通过对低合格率数据的提取与分析,定位封装过程中可能造成不合格产品的关键点,为质量改善提供依据;3、搜集W公司2006年5月到8月的手机芯片封装测试数据,进行实证研究,验证了所提出的研究方法的准确性。
本论文的创新点就在于从手机芯片封装中最重要的产品合格率入手,将数据仓库和数据挖掘等商业智能技术应用于芯片封装质量管理中,并结合W公司的实例进行了数据分析和验证,为企业提供了质量控制方面的决策支持,从而提高产品质量,提升企业的核心竞争力。由于作者水平有限,文中仍然对有影响手机芯片封装质量的其他因素进行关联分析等问题需要其他学者作进一步的研究。
The encapsulation of the mobile phone chip generates a large number of the quality data every day , this article will establish a quality control system based on data mining technology, which can analyze and statistics the quality defects and failure products, diagnose the causes of the failure products through collecting, analyzing and processing the mobile phone chip encapsulation quality data.
This article reviews the development course of quality control and the newest tendency in domestic and foreign at first, and carries on the summary about the quality control of the mobile phone chip encapsulation. Based on the deep analysis of the data mining and qualified rate management, this paper presents the quality control of the mobile phone chip encapsulation management system's design objectives, design ideas and functional modules.This study is mainly in the following areas: 1. This paper analyzes the manufacture process and system pattern of mobile phone chip encapsulation, and emphatically studies the management of qualified rate and the data mining in the mobile phone chip encapsulation application. 2. This paper uses data mining method, and confirms the key factors which affect the quality, through determining the weight of a number of factors which impact the quality of mobile phone chip encapsulation. This article also addresses the key factors affecting quality, through extracting and analyzing the low qualified rate of data, positions the key points which may cause failure, provides the basis for quality improvement.3. This paper collects the test data of the mobile phone chip encapsulation from W company during May 2006 to August 2006, and conducts the real diagnosis research, and confirms the accuracy of the research approach which is proposed.
In this paper, the innovation lies in using data warehouse and data mining business intelligence technology in the quality control of the mobile phone chip encapsulation, starting with the important qualified rate of the mobile phone chip encapsulation. This article takes the W company as the example to carry on the data analysis and the confirmation. It has also provided the decision support in the aspect of quality control for enterprises, thus enhancing the product quality and enterprise's core competitive ability.
引文
[1]刘伟,刘国宁.质量管理[M].北京:中国言实出版社,2005,6-7
[2]梁德丰,梁静,钱省三.SPC在半导体品圆制造厂的应刚[J].半导体技术,2004,29(3):44-46
[3]张公绪,何国伟.新编质量管理学[M].北京:高等教育出版社,1998,36-41
[4]龚益鸣.质量管理学[M].上海:复旦大学出版社,2000,132-133
[5]伍爱.质量管理学(第二版)[M].广州:暨南大学出版社,2002,127-129
[6]Montgomery D.C..Introduction to statistical quality control[M].John Wiley & Sons,1997,56-59
[7]中国质量协会.全面质量管理基本知识[M].北京:中国经济出版社,2002,157-163
[8]Feigenbaum A.V.Total quality control[M].New York:Mc Greenhill Book Company,1993,48-49
[9]Mohsen M.D.Hassan.TOM as a System for Quality Management[J].System Engineering,2001,4(4):262-271
[10]张宁英.借助IT技术打造质量管理[J].中国质量,2001,2:35-37
[11]International standard.ISO9000:2000,Quality management systems Fundamentals and Vocabulary,2000.5:3
[12]柴邦衡.ISO9000质量管理体系[M].北京:机械工业出版社,2002,96-102
[13]魏文,杨小虎,董金样.多品种大批量装配型企业CIMS中的计算机辅助质量管理[J].计算机工程与应用,1997,10:103-109
[14]林志航.计算机辅助质量系统[M].北京:机械工业出版社,1997,48-49SUN Beibei,Zhong Binglin,Cui Min,Huang Ren.Quality Assurance Information System
[15]for Agile Manufacturing[J].Transaction of Nanjing University of Aeronautics &Astronautics,2000,17(1):71-77
[16]唐晓表,段桂江.企业质量保证体系的信息化[J].中国质量,20012:35-37
[17]Vijay R.Kannan,Keh Choon Tan.Just in Time,Total Quality Management,and Supply Chain Management[J].The International Journal of Management Science.2005,33(2):153-162
[18]周黎明.质量控制技术[M].广州:广东经济出版社,2003,270
[19]Fugee Tsung.Impact of Information Sharing on Statistical Quality Control[J].Industrial Marketing Management.2000,29(2):63-65
[20][美]W.H.Inmon,王志海等译.数据仓库[M].北京:机械工业出版社,2005,98-102
[21]汤字松,刘相峰,黄亚楼等.数据挖掘系统设计[J].系统工程理论与实践,2000,9:18-23
[22]Jiawei Han,Micheline Kamber.Data mining concepts and Techniques[M].北京.高等教育出版社,2001,126-127
[23]Margart H.Dunham.DATA MINING Introductory and Advanced Topics[M].北京:清华大学出版社,2003,125-131
[24]R.A grawal,J.Shafer.Parallel mining of association rules:Design,Implementation,and Experience.[DB/CD].IEEET rans.Knowledge and data engineering,8:962-969,Jan.1996,54
[25]朱明.数据挖掘[M].安徽:中国科技大学出版社,2002,87
[26]MacQueen J.B.,Some methods for classification and analysis of multivariate ovservations[M].Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability,1996,281-297
[27]Inmon W H.Building the Data Warehouse[M].Portland:QED Technical Publishing Group,1992,195-199
[28]夏红霞,曹献媛,郝海芳等.基于数据仓库的数据采掘技术应用[J],微机发展,2000,2(1):28
[29]Ming-Syan Chen,Philip S.Yu Data Mining:An overview from a database perspective[J].IEEE Transactions on Knowledge,1996,6:31
[30]Paul G,HU GH J.W.Decision support in the data warehouse[M].北京:北京理工大学出版社,2001,102-104
[31]李绪成,王保保.挖捌关联规则中Apfiofi算法的一种改进[J].计算机工程,2002,7:233-235
[32]Fayyad U M,Piatetski G,Smith P From data mining to knowledge discovery:An overview In:Advances in knowledge discovery and data mining[M].Boston:AAAI/MIT Press.1996,301-309
[33]范明,孟小峰.数据挖掘—概念与技术[M].北京:机械工业出版社,2001,182-184
[34]Jiawei Han,Micheline Kamber,DATA MINING-Concepts and Techniques[M],Morgan Kau fmann Publishers,2001,210-212
[35]Han J.,Kamber M.,Data Mining:Concepts and Techniques[M].Morgan Kaufmann,2000,138-142
[36]MICHAELC.Oracle DataWarehousing[M].北京:机械工业出版社,2002,p117-123
[37]姚卿达,黄晓春,刘乡民.数据仓库和数据采掘应用研究[J].计算机科学,1999(6),p28
[38]Kaufman L.,Rousseeuw P.J.,Finding Groups in Data:an Introduction to Cluster Analysis [M].John Wiley & Sons,1990,239-251
[39]林杰斌,刘明德,陈湘.数据挖掘与OLAP理论与实务[M].北京:清华大学出版社,2003,253-259
[40]Ng R,Han J.Efficient and Effective Clustering Methods for Spatial Data Mining [C].Santiago:Proceedings of the 20~(th)Conference on VLDB,1994
[41]Guha S,Rastogi R,Shim K.ROCK:A Robust Clustering Algorithm for Categorical Attributes[C].Sydney:Proceedings of the 15~(th)ICDE,1999
[42]李嘉柱,李佳颖,半导体后段之现场生产流程与作业管制条件分析力一法探讨[J].机械工业杂志,1999,33
[43]简祯富,林鼎浩,徐绍钟,彭诚涌.建构半导体晶圆允收测试资料挖矿架构及其实证研究[J].工业工程学刊,2001,18(4):37-48
[44]Spanos C.J.,Statistical Process Control in Semiconductor Manufacturing,Proceedings of the IEE,1992,80(6)
[45]程国平.质量管理学[M].武汉:武汉理工大学出版社,2004,11-12
[46]Choi,T.Y.,Rungtusanantham,M.Comparison of Quality Management Practices:Across the Supply Chain and Industries[J].Journal of Operations Manangement,1999,16:20-27
[47]F.M.Gryna.Juran's Quality Control Handbook[M].McGraw-Hill Book Company,1998,230-233
[48]张根保,何桢,刘英.质量管理与可靠性[M].北京:中国科学技术出版社,2005,67
[49]Forza,C,Filippini,R.TQM Impact on Quality Confonnance and Customer Satisfaction:A Causal Model[J].International Journal of Production Economics,1998,55:1-20
[50]刘广第.质量管理学[M].北京:清华大学出版社,2003,127-129
[51]Oliver Howl.On supporting Quality with Intelligent Data Mining[S].Hawaii International Conference on System Sciences,2001
[52]温德成.产品质量竞争力及其构成要求分析[J].世界标准化与质量管理,2005,6:6-7
[2]梁德丰,梁静,钱省三.SPC在半导体品圆制造厂的应刚[J].半导体技术,2004,29(3):44-46
[3]张公绪,何国伟.新编质量管理学[M].北京:高等教育出版社,1998,36-41
[4]龚益鸣.质量管理学[M].上海:复旦大学出版社,2000,132-133
[5]伍爱.质量管理学(第二版)[M].广州:暨南大学出版社,2002,127-129
[6]Montgomery D.C..Introduction to statistical quality control[M].John Wiley & Sons,1997,56-59
[7]中国质量协会.全面质量管理基本知识[M].北京:中国经济出版社,2002,157-163
[8]Feigenbaum A.V.Total quality control[M].New York:Mc Greenhill Book Company,1993,48-49
[9]Mohsen M.D.Hassan.TOM as a System for Quality Management[J].System Engineering,2001,4(4):262-271
[10]张宁英.借助IT技术打造质量管理[J].中国质量,2001,2:35-37
[11]International standard.ISO9000:2000,Quality management systems Fundamentals and Vocabulary,2000.5:3
[12]柴邦衡.ISO9000质量管理体系[M].北京:机械工业出版社,2002,96-102
[13]魏文,杨小虎,董金样.多品种大批量装配型企业CIMS中的计算机辅助质量管理[J].计算机工程与应用,1997,10:103-109
[14]林志航.计算机辅助质量系统[M].北京:机械工业出版社,1997,48-49SUN Beibei,Zhong Binglin,Cui Min,Huang Ren.Quality Assurance Information System
[15]for Agile Manufacturing[J].Transaction of Nanjing University of Aeronautics &Astronautics,2000,17(1):71-77
[16]唐晓表,段桂江.企业质量保证体系的信息化[J].中国质量,20012:35-37
[17]Vijay R.Kannan,Keh Choon Tan.Just in Time,Total Quality Management,and Supply Chain Management[J].The International Journal of Management Science.2005,33(2):153-162
[18]周黎明.质量控制技术[M].广州:广东经济出版社,2003,270
[19]Fugee Tsung.Impact of Information Sharing on Statistical Quality Control[J].Industrial Marketing Management.2000,29(2):63-65
[20][美]W.H.Inmon,王志海等译.数据仓库[M].北京:机械工业出版社,2005,98-102
[21]汤字松,刘相峰,黄亚楼等.数据挖掘系统设计[J].系统工程理论与实践,2000,9:18-23
[22]Jiawei Han,Micheline Kamber.Data mining concepts and Techniques[M].北京.高等教育出版社,2001,126-127
[23]Margart H.Dunham.DATA MINING Introductory and Advanced Topics[M].北京:清华大学出版社,2003,125-131
[24]R.A grawal,J.Shafer.Parallel mining of association rules:Design,Implementation,and Experience.[DB/CD].IEEET rans.Knowledge and data engineering,8:962-969,Jan.1996,54
[25]朱明.数据挖掘[M].安徽:中国科技大学出版社,2002,87
[26]MacQueen J.B.,Some methods for classification and analysis of multivariate ovservations[M].Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability,1996,281-297
[27]Inmon W H.Building the Data Warehouse[M].Portland:QED Technical Publishing Group,1992,195-199
[28]夏红霞,曹献媛,郝海芳等.基于数据仓库的数据采掘技术应用[J],微机发展,2000,2(1):28
[29]Ming-Syan Chen,Philip S.Yu Data Mining:An overview from a database perspective[J].IEEE Transactions on Knowledge,1996,6:31
[30]Paul G,HU GH J.W.Decision support in the data warehouse[M].北京:北京理工大学出版社,2001,102-104
[31]李绪成,王保保.挖捌关联规则中Apfiofi算法的一种改进[J].计算机工程,2002,7:233-235
[32]Fayyad U M,Piatetski G,Smith P From data mining to knowledge discovery:An overview In:Advances in knowledge discovery and data mining[M].Boston:AAAI/MIT Press.1996,301-309
[33]范明,孟小峰.数据挖掘—概念与技术[M].北京:机械工业出版社,2001,182-184
[34]Jiawei Han,Micheline Kamber,DATA MINING-Concepts and Techniques[M],Morgan Kau fmann Publishers,2001,210-212
[35]Han J.,Kamber M.,Data Mining:Concepts and Techniques[M].Morgan Kaufmann,2000,138-142
[36]MICHAELC.Oracle DataWarehousing[M].北京:机械工业出版社,2002,p117-123
[37]姚卿达,黄晓春,刘乡民.数据仓库和数据采掘应用研究[J].计算机科学,1999(6),p28
[38]Kaufman L.,Rousseeuw P.J.,Finding Groups in Data:an Introduction to Cluster Analysis [M].John Wiley & Sons,1990,239-251
[39]林杰斌,刘明德,陈湘.数据挖掘与OLAP理论与实务[M].北京:清华大学出版社,2003,253-259
[40]Ng R,Han J.Efficient and Effective Clustering Methods for Spatial Data Mining [C].Santiago:Proceedings of the 20~(th)Conference on VLDB,1994
[41]Guha S,Rastogi R,Shim K.ROCK:A Robust Clustering Algorithm for Categorical Attributes[C].Sydney:Proceedings of the 15~(th)ICDE,1999
[42]李嘉柱,李佳颖,半导体后段之现场生产流程与作业管制条件分析力一法探讨[J].机械工业杂志,1999,33
[43]简祯富,林鼎浩,徐绍钟,彭诚涌.建构半导体晶圆允收测试资料挖矿架构及其实证研究[J].工业工程学刊,2001,18(4):37-48
[44]Spanos C.J.,Statistical Process Control in Semiconductor Manufacturing,Proceedings of the IEE,1992,80(6)
[45]程国平.质量管理学[M].武汉:武汉理工大学出版社,2004,11-12
[46]Choi,T.Y.,Rungtusanantham,M.Comparison of Quality Management Practices:Across the Supply Chain and Industries[J].Journal of Operations Manangement,1999,16:20-27
[47]F.M.Gryna.Juran's Quality Control Handbook[M].McGraw-Hill Book Company,1998,230-233
[48]张根保,何桢,刘英.质量管理与可靠性[M].北京:中国科学技术出版社,2005,67
[49]Forza,C,Filippini,R.TQM Impact on Quality Confonnance and Customer Satisfaction:A Causal Model[J].International Journal of Production Economics,1998,55:1-20
[50]刘广第.质量管理学[M].北京:清华大学出版社,2003,127-129
[51]Oliver Howl.On supporting Quality with Intelligent Data Mining[S].Hawaii International Conference on System Sciences,2001
[52]温德成.产品质量竞争力及其构成要求分析[J].世界标准化与质量管理,2005,6:6-7