区域质量形势评价及预测技术研究
|
摘要
区域质量形势评价与预测技术是一套面向区域整体质量水平评价与预测的理论和方法体系。其核心观点是从整体上而不是从某一具体产品或企业的角度研究区域的质量形势。区域质量形势评价理论认为,传统的数量增长型并不能完全反映区域经济的持续发展能力,同时还要对“数量增长”和“质量效益”两个方面进行综合度量。
区域质量形势评价理论提出“区域质量”和“区域质量形势”的概念,认为一个区域或行业不论大小都有其整体质量水平,且与区域经济的发展密切相关。很显然,在高品质区域,人们的生活可以远离假冒伪劣产品的危害,区域的生活质量和经济发展水平必然就高。本课题提出了区域质量的三要素立体模型和指针表模型,用于评价及预测区域质量形势。本文主要内容分为以下几个部分。
第一部分,面对不断发生的区域性或行业性的系列重大质量事件,阐述了质量形势区域化和质量观念区域化的背景。以整体评价的观点分析了传统质量评价技术,分别分析了面向产品、企业、社会效果评价的局限性,指出在宏观上和总量上建立区域质量指标的必要性,并指明了评价当前状态和预测发展趋势的重要意义,并提出区域质量形势评价理论研究的课题。
第二部分,构建了区域质量形势研究的基本理论框架。定义了“区域质量”、“区域质量形势”、“区域质量三要素”等概念,指出了区域质量水平是由区域内所有产品的产品特性、企业的流程能力和社会效果三个要素的共同表现,并成为区域质量形势评价及预测技术的基础。建立了区域质量三要素立体模型和指针表模型,围绕如何评价及预测区域质量形势,研究了区域质量形势分析、评价及预测的基本理论方法,如对数透视变换技术、复合线性矩阵方法、马尔科夫过程分析方法、支持向量机方法等,形成了区域质量形势评价的基本理论。
第三部分,重点研究了区域质量形势理论的指标体系。建立了区域质量形势指标体系框架,将指标体系分为评价指标、要素指标、属性指标三个层次。其中评价指标定义为A,B,C,D,E,F,G,H八等级制指标;要素指标定义为流程能力、产品特性及社会效果三种要素;属性指标定义为包含39个属性在内的6属性表。在此基础上将区域质量形势的6属性表进行了量化。
第四部分,重点研究了区域质量形势评价技术。首先对区域质量形势评价的步骤和组织进行了界定。然后用复合线性矩阵方法对区域质量水平的三种要素进行详细计算,得到区域质量水平的三个指数。此后在子区域合并为总区域的基础上,对各个子区域的质量水平采用随机抽样的方法,得到总区域(或某行业)的区域质量水平的均值、中位数、众数等特征值,最后用指针表模型对总区域的质量形势进行了分析和评价。
第五部分,重点研究了区域质量形势预测技术。主要分为状态预测和属性预测两个类型。状态预测技术是基于马尔科夫过程分析技术的整体预测,详细研究了预测过程的预测假设、预测模型,基本步骤、初始状态、转移矩阵、平衡态分析、预测指针表分析等。属性预测技术首先用主成分分析法筛选了区域质量的主要属性,然后用属性与结果的“数据对”训练支持向量机,形成区域质量属性预测模型并予以预测,达到属性预测的目的。
第六部分,研究了区域质量形势的原型系统,主要利用MATLAB/SIMLINK系统仿真软件对区域质量水平评价和形势预测的部分主要模块进行了模拟运行,其中包括流程能力指数计算模块、产品特性指数计算模块、社会效果指数计算模块、状态预测模块、属性预测模块等,该原型系统为下一步的推广应用打下了基础。
第七部分,对全文进行总结,概括了本研究的创新技术和方法,并展望了今后的研究工作。
Evaluation of Regional Quality Situation (ERQS) and prediction technology is a set of standards for regional evaluation of the overall quality prediction theory and methodology system. The essence of the methodology is to evaluate regional quality situation from the overall opinion rather than by a particular product or particular business point of view. The theory of ERQS is that the growth in quantity can not fully reflect the region's sustainable capacity of economic development. Evaluation of quality from both“growth in quantity”and“quality and efficiency”is necessary.
The concepts of "regional quality" and " regional quality situation”are proposed. Regardless of the size and industry, any region has overall quality level, which is related closely to the regional economic development. Obviously, at high quality region, people's lives can be far away from the harm from fake and shoddy products, and region's quality of life and level of economic development is certainly high. In this study, three dimensional models and pointer table model for quality evaluation and prediction of regional situation is proposed to evaluate and predict regional quality situation. The main content is divided into the following sections.
The first chapter, in the face of the ongoing series of regional and industry quality major case, the background and reasons that shape the regional-quality and regional-quality-philosophy are presented. The traditional quality evaluation technology is analyzed from the overall-evaluation philosophy. The limitation of product oriented, enterprise oriented and society oriented evaluation is discussed. The necessity to establish the macro and overall regional quality is presented. The significance of evaluation of the current status and forecast of the development trend of the quality is presented. The ERQS is put forward as the content of this study.
Chapter II builds a basic theoretical framework for ERQS. The definition of a“regional quality", " regional quality situation”and "3- elements of regional quality" is presented, pointing out that the regional quality level is determined by all three elements in the region, namely products and product characteristics, the flow capacity of enterprises and social effects of the of the common performance, which is the basic of ERQS and quality prediction.
The three dimensional model and pointer table model for quality evaluation and prediction of regional situation is established. Focused on how to evaluate and predict regional quality situation. The basic theory on analysis, evaluation and prediction of regional quality is proposed, such as prospective logrithm-transfomation technology, complex linear matrix method, Markov process analysis methods, support vector machine method, etc., forming the basic theory of ERQS.
Chapter III focuses on the index system of ERQS. The framework of index system is setup, which is divided into three levels, namely, evaluation index system, elements of indexes, property indexes. Evaluation index is defined as A, B, C, D, E, F, G, H eight-graded multiple-grade indexes. Element index is defined as indexes of flow capacity, product characteristics and the social effects. Property indicator defined by the 6 tables that includes 39 properties, and then the 6 property tables of regional quality situation is quantified.
The fourth chapter focuses on the evolution technologies of regional quality situation. Firstly, the steps and organization for ERQS is defined. Then the three elements of regional quality is calculated using complex linear matrix method to obtain the three indexes of regional quality level. Then the regions are combined to form the total region. Random sampling of the sub-regional quality is conducted to represent the quality level of a total region (industry) by mean, median, mode and other features of the samples. Finally pointer table model is used for analysis and evaluation of quality situation of total region.
The fifth chapter focuses on prediction techniques of the regional situation, which is divided into status and property prediction. Status prediction technique based on Markov process analysis techniques, a detailed study of prediction hypothesis, prediction model, the basic steps, the initial status, transfer matrix, equilibrium analysis, prediction table pointer analysis are studied. Property prediction technique used principal component analysis first to select the key properties for regional quality, and then support vector machine method is used to establish the prediction model of regional quality property.
Chapter VI on the quality of the regional situation, the prototype system, the main use of MATLAB / SIMLINK system simulation software, the quality of the regional situation and the forecast evaluation and some of the main modules of the simulation run, including the process capability index calculation module, the product features index module, the social effects of index module, the state of the forecast module, module attributes, such as forecast, the prototype system for the next phase of popularization and application of a foundation.
Chapter VI summarizes the paper, outlining the innovative technologies and methods in this research, and suggestions for future research work is proposed.
区域质量形势评价理论提出“区域质量”和“区域质量形势”的概念,认为一个区域或行业不论大小都有其整体质量水平,且与区域经济的发展密切相关。很显然,在高品质区域,人们的生活可以远离假冒伪劣产品的危害,区域的生活质量和经济发展水平必然就高。本课题提出了区域质量的三要素立体模型和指针表模型,用于评价及预测区域质量形势。本文主要内容分为以下几个部分。
第一部分,面对不断发生的区域性或行业性的系列重大质量事件,阐述了质量形势区域化和质量观念区域化的背景。以整体评价的观点分析了传统质量评价技术,分别分析了面向产品、企业、社会效果评价的局限性,指出在宏观上和总量上建立区域质量指标的必要性,并指明了评价当前状态和预测发展趋势的重要意义,并提出区域质量形势评价理论研究的课题。
第二部分,构建了区域质量形势研究的基本理论框架。定义了“区域质量”、“区域质量形势”、“区域质量三要素”等概念,指出了区域质量水平是由区域内所有产品的产品特性、企业的流程能力和社会效果三个要素的共同表现,并成为区域质量形势评价及预测技术的基础。建立了区域质量三要素立体模型和指针表模型,围绕如何评价及预测区域质量形势,研究了区域质量形势分析、评价及预测的基本理论方法,如对数透视变换技术、复合线性矩阵方法、马尔科夫过程分析方法、支持向量机方法等,形成了区域质量形势评价的基本理论。
第三部分,重点研究了区域质量形势理论的指标体系。建立了区域质量形势指标体系框架,将指标体系分为评价指标、要素指标、属性指标三个层次。其中评价指标定义为A,B,C,D,E,F,G,H八等级制指标;要素指标定义为流程能力、产品特性及社会效果三种要素;属性指标定义为包含39个属性在内的6属性表。在此基础上将区域质量形势的6属性表进行了量化。
第四部分,重点研究了区域质量形势评价技术。首先对区域质量形势评价的步骤和组织进行了界定。然后用复合线性矩阵方法对区域质量水平的三种要素进行详细计算,得到区域质量水平的三个指数。此后在子区域合并为总区域的基础上,对各个子区域的质量水平采用随机抽样的方法,得到总区域(或某行业)的区域质量水平的均值、中位数、众数等特征值,最后用指针表模型对总区域的质量形势进行了分析和评价。
第五部分,重点研究了区域质量形势预测技术。主要分为状态预测和属性预测两个类型。状态预测技术是基于马尔科夫过程分析技术的整体预测,详细研究了预测过程的预测假设、预测模型,基本步骤、初始状态、转移矩阵、平衡态分析、预测指针表分析等。属性预测技术首先用主成分分析法筛选了区域质量的主要属性,然后用属性与结果的“数据对”训练支持向量机,形成区域质量属性预测模型并予以预测,达到属性预测的目的。
第六部分,研究了区域质量形势的原型系统,主要利用MATLAB/SIMLINK系统仿真软件对区域质量水平评价和形势预测的部分主要模块进行了模拟运行,其中包括流程能力指数计算模块、产品特性指数计算模块、社会效果指数计算模块、状态预测模块、属性预测模块等,该原型系统为下一步的推广应用打下了基础。
第七部分,对全文进行总结,概括了本研究的创新技术和方法,并展望了今后的研究工作。
Evaluation of Regional Quality Situation (ERQS) and prediction technology is a set of standards for regional evaluation of the overall quality prediction theory and methodology system. The essence of the methodology is to evaluate regional quality situation from the overall opinion rather than by a particular product or particular business point of view. The theory of ERQS is that the growth in quantity can not fully reflect the region's sustainable capacity of economic development. Evaluation of quality from both“growth in quantity”and“quality and efficiency”is necessary.
The concepts of "regional quality" and " regional quality situation”are proposed. Regardless of the size and industry, any region has overall quality level, which is related closely to the regional economic development. Obviously, at high quality region, people's lives can be far away from the harm from fake and shoddy products, and region's quality of life and level of economic development is certainly high. In this study, three dimensional models and pointer table model for quality evaluation and prediction of regional situation is proposed to evaluate and predict regional quality situation. The main content is divided into the following sections.
The first chapter, in the face of the ongoing series of regional and industry quality major case, the background and reasons that shape the regional-quality and regional-quality-philosophy are presented. The traditional quality evaluation technology is analyzed from the overall-evaluation philosophy. The limitation of product oriented, enterprise oriented and society oriented evaluation is discussed. The necessity to establish the macro and overall regional quality is presented. The significance of evaluation of the current status and forecast of the development trend of the quality is presented. The ERQS is put forward as the content of this study.
Chapter II builds a basic theoretical framework for ERQS. The definition of a“regional quality", " regional quality situation”and "3- elements of regional quality" is presented, pointing out that the regional quality level is determined by all three elements in the region, namely products and product characteristics, the flow capacity of enterprises and social effects of the of the common performance, which is the basic of ERQS and quality prediction.
The three dimensional model and pointer table model for quality evaluation and prediction of regional situation is established. Focused on how to evaluate and predict regional quality situation. The basic theory on analysis, evaluation and prediction of regional quality is proposed, such as prospective logrithm-transfomation technology, complex linear matrix method, Markov process analysis methods, support vector machine method, etc., forming the basic theory of ERQS.
Chapter III focuses on the index system of ERQS. The framework of index system is setup, which is divided into three levels, namely, evaluation index system, elements of indexes, property indexes. Evaluation index is defined as A, B, C, D, E, F, G, H eight-graded multiple-grade indexes. Element index is defined as indexes of flow capacity, product characteristics and the social effects. Property indicator defined by the 6 tables that includes 39 properties, and then the 6 property tables of regional quality situation is quantified.
The fourth chapter focuses on the evolution technologies of regional quality situation. Firstly, the steps and organization for ERQS is defined. Then the three elements of regional quality is calculated using complex linear matrix method to obtain the three indexes of regional quality level. Then the regions are combined to form the total region. Random sampling of the sub-regional quality is conducted to represent the quality level of a total region (industry) by mean, median, mode and other features of the samples. Finally pointer table model is used for analysis and evaluation of quality situation of total region.
The fifth chapter focuses on prediction techniques of the regional situation, which is divided into status and property prediction. Status prediction technique based on Markov process analysis techniques, a detailed study of prediction hypothesis, prediction model, the basic steps, the initial status, transfer matrix, equilibrium analysis, prediction table pointer analysis are studied. Property prediction technique used principal component analysis first to select the key properties for regional quality, and then support vector machine method is used to establish the prediction model of regional quality property.
Chapter VI on the quality of the regional situation, the prototype system, the main use of MATLAB / SIMLINK system simulation software, the quality of the regional situation and the forecast evaluation and some of the main modules of the simulation run, including the process capability index calculation module, the product features index module, the social effects of index module, the state of the forecast module, module attributes, such as forecast, the prototype system for the next phase of popularization and application of a foundation.
Chapter VI summarizes the paper, outlining the innovative technologies and methods in this research, and suggestions for future research work is proposed.
引文
[1] [美]约瑟夫·M·朱兰,A·布兰顿·戈弗雷.朱兰质量手册[M].北京:中国人民大学出版社,2003.
[2]冯之浚,树立科学发展观实现可持续发展[J].中国软科学,2004(1).
[3]罗国英,林修齐.2000版ISO 9000族标准质量管理体系教程(修订版) [M].中国经济出版社,2000.6.
[4]张根保.现代质量工程[M].北京:机械工业出版社.2004.
[5]江传富.质量观念的整合[J].大众标准化2005.
[6]上海质量研究所.质量竞争力[M].北京:中国标准出版社,2006.
[7]戴备军.质量指数与质量分析评价技术应用基础[M].北京:中国标准出版社,2002.
[8]弗兰克·M·格里纳,何桢主译.质量策划与分析(第4版)[M].北京:中国人民大学出版社,2005.
[9] GB/Z 19579—2004.卓越绩效评价准则实施指南[S].北京:中国标准出版社,2005
[10]国家经济委员会.国家优质产品评选条例[S].北京:中国标准出版社,1987.
[11] Ashok Kumar,Kathryn E.Sticker, Jayden Mitanni,A Quality Index-Based Methodology for Improving Competitiveness: Analytical Development and Empirical Validation [J]. University of Michigan Business School, 2002:7-8.
[12]蒋家东.质量竞争力指数(QCI)研究分析[J].航空标准化与质量,2004.1.
[13] Kaki R. Bothe y Aid K. Bothe. World Class Quality: Using Design of Experiments to make it Happen. Ra Ximhai. Vol. 1. Número 2, Mayo-Agosto 2005, pp.433-438
[14]李卫红,杨练根.质量统计技术[M].北京:中国计量出版社,2006(8)
[15] [德]Peter D.非线性问题的牛顿法—仿射不变性和自适应算法[M].北京:科学出版社,2006.
[16] Nell Cristiana, John Shawe-taylor. An Introduction to support Vector Machines and Other kernel-based Learning methods [M]. Beijing: Publishing house of Electronics Industry.
[17] [美]克劳斯比。质量无泪[M].北京:中国财经出版社,2002(6).
[18]林秀雄.田口方法实战技术[M] .海天出版社,2004.9.
[19] GB/T 19001-2000.质量管理体系—要求(Idt ISO 9001:2000)[S].北京:中国标准出版社.
[20]何晓群.现代统计分析方法与应用[M] .北京:中国人民大学出版社。2006
[21] Gengbao, Huang; Genbao, Zhang; Haifeng, Zeng; Guoqiang, Wang; Likun, Liu. Recognition of hidden parameters in quality level measurement [A]. Proceedings of the 27th ChineseControl Conference, CCC .2008:127-130.
[22]王强,沈永平,陈英武.多属性决策支持向量机模型与算法[J].控制与决策,2006,21(12).
[23]赵炼.预测技术与应用[M].北京:中国人民大学出版社,2003.
[24] [英]克里斯特安尼等著,李国正,王猛,曾华军译.支持向量机导论[M].北京:电子工业出版社,2004:86.
[25]许东,吴铮.基于MATLAB6.X的系统分析设计[M].西安:西安电子科技大学出版社,2002:38.
[26]张葛祥,李娜.MATLAB仿真技术与应用.北京:清华大学出版社,2003.
[27]陈仲生.基于MATLAB7.0的统计信息处理.长沙:湖南科学技术出版社,2005.
[28]坚持大质量观念练好管理基本功——访国际质量院院士,中国工程院院士刘源张[J].质量与可靠性, 2005,(03).
[29]余忠华,吴昭同.面向小批量制造过程的质量控制方法研究[J].机械工程学报, 2001,(08).
[30] GB/T 2260-1999.全国县及县以上行政区划代码表[S].北京:中国标准出版社.
[31] GB/T 4754-2002.国民经济行业分类[S].北京:中国标准出版社.
[32]国家统计局.三次产业划分规定.国统字[2003]14号[ EB/OL ] . : http://www.stats.gov.cn/tjbz/index.htm
[33]国家统计局.关于划分企业登记注册类型的规定[ EB/OL ] . : http://www.stats.gov.cn/tjbz/index.htm
[34]国家统计局.关于统计上划分经济成分的规定[ EB/OL ] . : http://www.stats.gov.cn/tjbz/index.htm
[35]国家统计局.公有和非公有控股经济的分类办法[ EB/OL ] . : http://www.stats.gov.cn/tjbz/index.htm
[36]国家统计局.个体经营分类与代码.[EB/OL].: http://www.stats.gov.cn/tjbz/index.htm
[37]国家统计局.统计上大中小型企业划分办法. [ EB/OL ] . : http://www.stats.gov.cn/tjbz/index.htm
[38]国家统计局.单位隶属关系代码. [EB/OL].: http://www.stats.gov.cn/tjbz/index.htm
[39]国家统计局.统计上划分信息相关产业暂行规定. [ EB/OL ] . : http://www.stats.gov.cn/tjbz/index.htm
[40]国家统计局.高技术产业统计分类目录. http://www.stats.gov.cn/tjbz/index.htm
[41]联合国统计司.产品总分类.CPC,1.0版.
[42]国家海关总署.海关统计商品目录.(简称HS,2005年版).
[43]黄庚保,张根保,曾海峰.谁在为顾客测度质量[A].第三届中国质量学术论坛优秀论文.2008:429.
[44]上海市质量协会代表团.“重新认知质量”—2006年美国世界质量与改进大会纪实(下)[J].上海质量.2006(7):36-38.
[45] Peter J. Burst, Frank M. Greene,“Quality and Economics: Five Key Issues”, Quality Progress, Oct., 2002, p64~69.
[46] Michael W. Dugan,“Measuring Quality in the Department of Defense”, Quality Progress, Jan. 2002, p90~93.
[47] Michael E. Porter,“Enhancing the Microeconomic Foundations of Prosperity: The Current Competitiveness Index”, Quality Progress, 2002.
[48] R. W. Hoyer and Brooke B. Y. Hoyer,“What Is Quality? Learn How Each of Eight Well-known Gurus Answers This Question”, Quality Progress, 2001.
[49]黄庚保,张根保.量化决策的区域质量形势测度指针体系[J].中国软科学.2008(12).
[50]机械工业部.机械工业企业质量管理必备条件验收细则[ EB/OL ] . :http://www.gxciq.gov.cn/gxciq/223495529554771968/20080804/2009.html.2008-8-2.
[51]国家质量监督检验检疫总局.企业质量档案系统[ EB/OL ] . :http://zlgls.aqsiq.gov.cn/zlxxgz/qyzlda/200701/P020070117534206656673.xls
[52]林勇,马士华.供应链管理环境下质量要素的综合评价选择研究[J],物流技术,2000(5).
[53]曹利戈,张庆玲,质量的量化描述[J],西安邮电学院学报,1999.6.(4-2).
[54] GB/Z 19579—2004.卓越绩效评价准则实施指南[S].北京:中国标准出版社.
[55]罗国英,林修齐.ISO 9000族标准质量管理体系教程(修订版),中国经济出版社,2000。6,67-68.
[56]段桂江等.动态企业环境下的质量信息系统研究.计算机集成制造系统—CIMS,1999.3:44-47
[57]张铭鑫.面向产品的质量数据管理方法的研究[D].合肥:合肥工业大学,2005.
[58]谢强.质量链管理及其关键技术研究[D].南京:南京航空航天大学.2002.
[59]胡宇霞,丘军.我国中小企业产品质量问题探析[J].生产力研究,1999.4.
[60]王雪聪,唐晓青.质量管理中的顾客满意度研究[J] .计算机集成制造系统—CIMS.2001.10(7):61-64。
[61]刘书庆,王玲芳.产品质量影响因素探讨[J] .西安理工大学学报, 1998 .l4(1).
[62]宋明顺,万华英等.顾客满意度指数与质量指数的异同分析[J].世界标准化与质量管理.2001.4.
[63]张公绪.两种质量诊断理论及其应用[M] .北京:科学出版社,2001:123.
[64]魏巍,杨湘.过程方法-运作技巧[M].北京:中国计量出版社,2004:1-33
[65]刘飞、张晓冬、杨丹编著,制造系统工程(第2版) [M].北京:国防工业出版社,2003.6
[66]米玉明.基于供应链管理企业的产品质量研究[D].南京:南京工业大学.2005:44
[67]王超.区域重大突发事件的预警监测指标体系研究[J] .武汉理工大学学报(社会科学版)2007年4月第20卷第2期.166-170.
[68]王核成.基于动态能力观的企业竞争力及其演化研究[D].杭州:浙江大学,2005:66.
[69]蒋国瑞,任荣平.基于Multi-Agent预警系统的技术性贸易壁垒预测预警系统研究与开发[J].计算机应用研究,2006( 8) :206-211.
[70]刘强,姜克隽,胡秀莲.中国能源安全预警指标框架体系设计[J].中国能源2007(29):16-20
[71]赵德海,上创利.论区域名牌产品评价指标体系的构建[J].物流科技,2003(124):94-97.
[72]王强,沈永平,陈英武,多属性决策支持向量机模型与算法[J].控制与决策,2006.12:1338-1440.
[73]王江,龚丽.中国农产品技术性贸易壁垒预警体系的框架研究[J].科学管理研究,2006 (4):71-74.
[74]李全喜,张欣,五姣.先进制造模式下的质量链管理[J].科学与科学技术管理,2004.7.
[75]李秀,应维云,刘文煌.CIMS环境下产品质量系统工程[M].北京:机械工业出版社,2004:20-20.
[76]苏伟伦.戴明管理思想核心读本[M].北京:中国社会科学出版社,2003.5.
[77] [美]里夫金.欧洲梦-21世纪人类发展的新梦想[M].重庆:重庆出版社,2006.
[78]蒋国瑞,赵新竹.技术性贸易壁垒预警指标体系建立及其应用[J].科技进步与对策,2006( 9) :119-122.
[79]翟东生,张书杰,余旸等.TBT监测预警系统设计与开发[J].北京工业大学学报,2005( 4) :358-361.
[80]任运河,山东省绿色农业评价、预警体系研究[D].泰安:山东农业大学,2006
[81]梁乃刚,质量管理与可靠性[M],机械工业出版社,北京,1995
[82] GB/T 14437-1997.产品质量监督计数一次抽样检验程序及抽样方案[S].北京:中国标准出版社.
[83] GB/T 16306-1996.产品质量监督复查程序及抽样方案[S].北京:中国标准出版社.
[84]杨旭,王东鹏,马玉林.基于CIMS环境下的质量管理信息系统的设计[J].CIMS剪报,2000.9:22-25
[85]张研婷.质量链质量经济效益分析与评价方法研究[D].吉林:吉林大学,2006.
[86]省质量技术监督局.浙江省质量技术监督局行政执法职权分解表[EB/OL]. http://www.zjbts.gov.cn/010010001/2007011600014.htm
[87]雷海章,王芳.关于建立循环经济的绿色制度的探讨[J].福建农林大学学报(哲学社会科学版) ,2004(3):35.
[88] Federal Minister for the Environment. Toward Sustainable Development in Germany〔Z〕1Government of the Federal Republic of Germany ,1997.
[2]冯之浚,树立科学发展观实现可持续发展[J].中国软科学,2004(1).
[3]罗国英,林修齐.2000版ISO 9000族标准质量管理体系教程(修订版) [M].中国经济出版社,2000.6.
[4]张根保.现代质量工程[M].北京:机械工业出版社.2004.
[5]江传富.质量观念的整合[J].大众标准化2005.
[6]上海质量研究所.质量竞争力[M].北京:中国标准出版社,2006.
[7]戴备军.质量指数与质量分析评价技术应用基础[M].北京:中国标准出版社,2002.
[8]弗兰克·M·格里纳,何桢主译.质量策划与分析(第4版)[M].北京:中国人民大学出版社,2005.
[9] GB/Z 19579—2004.卓越绩效评价准则实施指南[S].北京:中国标准出版社,2005
[10]国家经济委员会.国家优质产品评选条例[S].北京:中国标准出版社,1987.
[11] Ashok Kumar,Kathryn E.Sticker, Jayden Mitanni,A Quality Index-Based Methodology for Improving Competitiveness: Analytical Development and Empirical Validation [J]. University of Michigan Business School, 2002:7-8.
[12]蒋家东.质量竞争力指数(QCI)研究分析[J].航空标准化与质量,2004.1.
[13] Kaki R. Bothe y Aid K. Bothe. World Class Quality: Using Design of Experiments to make it Happen. Ra Ximhai. Vol. 1. Número 2, Mayo-Agosto 2005, pp.433-438
[14]李卫红,杨练根.质量统计技术[M].北京:中国计量出版社,2006(8)
[15] [德]Peter D.非线性问题的牛顿法—仿射不变性和自适应算法[M].北京:科学出版社,2006.
[16] Nell Cristiana, John Shawe-taylor. An Introduction to support Vector Machines and Other kernel-based Learning methods [M]. Beijing: Publishing house of Electronics Industry.
[17] [美]克劳斯比。质量无泪[M].北京:中国财经出版社,2002(6).
[18]林秀雄.田口方法实战技术[M] .海天出版社,2004.9.
[19] GB/T 19001-2000.质量管理体系—要求(Idt ISO 9001:2000)[S].北京:中国标准出版社.
[20]何晓群.现代统计分析方法与应用[M] .北京:中国人民大学出版社。2006
[21] Gengbao, Huang; Genbao, Zhang; Haifeng, Zeng; Guoqiang, Wang; Likun, Liu. Recognition of hidden parameters in quality level measurement [A]. Proceedings of the 27th ChineseControl Conference, CCC .2008:127-130.
[22]王强,沈永平,陈英武.多属性决策支持向量机模型与算法[J].控制与决策,2006,21(12).
[23]赵炼.预测技术与应用[M].北京:中国人民大学出版社,2003.
[24] [英]克里斯特安尼等著,李国正,王猛,曾华军译.支持向量机导论[M].北京:电子工业出版社,2004:86.
[25]许东,吴铮.基于MATLAB6.X的系统分析设计[M].西安:西安电子科技大学出版社,2002:38.
[26]张葛祥,李娜.MATLAB仿真技术与应用.北京:清华大学出版社,2003.
[27]陈仲生.基于MATLAB7.0的统计信息处理.长沙:湖南科学技术出版社,2005.
[28]坚持大质量观念练好管理基本功——访国际质量院院士,中国工程院院士刘源张[J].质量与可靠性, 2005,(03).
[29]余忠华,吴昭同.面向小批量制造过程的质量控制方法研究[J].机械工程学报, 2001,(08).
[30] GB/T 2260-1999.全国县及县以上行政区划代码表[S].北京:中国标准出版社.
[31] GB/T 4754-2002.国民经济行业分类[S].北京:中国标准出版社.
[32]国家统计局.三次产业划分规定.国统字[2003]14号[ EB/OL ] . : http://www.stats.gov.cn/tjbz/index.htm
[33]国家统计局.关于划分企业登记注册类型的规定[ EB/OL ] . : http://www.stats.gov.cn/tjbz/index.htm
[34]国家统计局.关于统计上划分经济成分的规定[ EB/OL ] . : http://www.stats.gov.cn/tjbz/index.htm
[35]国家统计局.公有和非公有控股经济的分类办法[ EB/OL ] . : http://www.stats.gov.cn/tjbz/index.htm
[36]国家统计局.个体经营分类与代码.[EB/OL].: http://www.stats.gov.cn/tjbz/index.htm
[37]国家统计局.统计上大中小型企业划分办法. [ EB/OL ] . : http://www.stats.gov.cn/tjbz/index.htm
[38]国家统计局.单位隶属关系代码. [EB/OL].: http://www.stats.gov.cn/tjbz/index.htm
[39]国家统计局.统计上划分信息相关产业暂行规定. [ EB/OL ] . : http://www.stats.gov.cn/tjbz/index.htm
[40]国家统计局.高技术产业统计分类目录. http://www.stats.gov.cn/tjbz/index.htm
[41]联合国统计司.产品总分类.CPC,1.0版.
[42]国家海关总署.海关统计商品目录.(简称HS,2005年版).
[43]黄庚保,张根保,曾海峰.谁在为顾客测度质量[A].第三届中国质量学术论坛优秀论文.2008:429.
[44]上海市质量协会代表团.“重新认知质量”—2006年美国世界质量与改进大会纪实(下)[J].上海质量.2006(7):36-38.
[45] Peter J. Burst, Frank M. Greene,“Quality and Economics: Five Key Issues”, Quality Progress, Oct., 2002, p64~69.
[46] Michael W. Dugan,“Measuring Quality in the Department of Defense”, Quality Progress, Jan. 2002, p90~93.
[47] Michael E. Porter,“Enhancing the Microeconomic Foundations of Prosperity: The Current Competitiveness Index”, Quality Progress, 2002.
[48] R. W. Hoyer and Brooke B. Y. Hoyer,“What Is Quality? Learn How Each of Eight Well-known Gurus Answers This Question”, Quality Progress, 2001.
[49]黄庚保,张根保.量化决策的区域质量形势测度指针体系[J].中国软科学.2008(12).
[50]机械工业部.机械工业企业质量管理必备条件验收细则[ EB/OL ] . :http://www.gxciq.gov.cn/gxciq/223495529554771968/20080804/2009.html.2008-8-2.
[51]国家质量监督检验检疫总局.企业质量档案系统[ EB/OL ] . :http://zlgls.aqsiq.gov.cn/zlxxgz/qyzlda/200701/P020070117534206656673.xls
[52]林勇,马士华.供应链管理环境下质量要素的综合评价选择研究[J],物流技术,2000(5).
[53]曹利戈,张庆玲,质量的量化描述[J],西安邮电学院学报,1999.6.(4-2).
[54] GB/Z 19579—2004.卓越绩效评价准则实施指南[S].北京:中国标准出版社.
[55]罗国英,林修齐.ISO 9000族标准质量管理体系教程(修订版),中国经济出版社,2000。6,67-68.
[56]段桂江等.动态企业环境下的质量信息系统研究.计算机集成制造系统—CIMS,1999.3:44-47
[57]张铭鑫.面向产品的质量数据管理方法的研究[D].合肥:合肥工业大学,2005.
[58]谢强.质量链管理及其关键技术研究[D].南京:南京航空航天大学.2002.
[59]胡宇霞,丘军.我国中小企业产品质量问题探析[J].生产力研究,1999.4.
[60]王雪聪,唐晓青.质量管理中的顾客满意度研究[J] .计算机集成制造系统—CIMS.2001.10(7):61-64。
[61]刘书庆,王玲芳.产品质量影响因素探讨[J] .西安理工大学学报, 1998 .l4(1).
[62]宋明顺,万华英等.顾客满意度指数与质量指数的异同分析[J].世界标准化与质量管理.2001.4.
[63]张公绪.两种质量诊断理论及其应用[M] .北京:科学出版社,2001:123.
[64]魏巍,杨湘.过程方法-运作技巧[M].北京:中国计量出版社,2004:1-33
[65]刘飞、张晓冬、杨丹编著,制造系统工程(第2版) [M].北京:国防工业出版社,2003.6
[66]米玉明.基于供应链管理企业的产品质量研究[D].南京:南京工业大学.2005:44
[67]王超.区域重大突发事件的预警监测指标体系研究[J] .武汉理工大学学报(社会科学版)2007年4月第20卷第2期.166-170.
[68]王核成.基于动态能力观的企业竞争力及其演化研究[D].杭州:浙江大学,2005:66.
[69]蒋国瑞,任荣平.基于Multi-Agent预警系统的技术性贸易壁垒预测预警系统研究与开发[J].计算机应用研究,2006( 8) :206-211.
[70]刘强,姜克隽,胡秀莲.中国能源安全预警指标框架体系设计[J].中国能源2007(29):16-20
[71]赵德海,上创利.论区域名牌产品评价指标体系的构建[J].物流科技,2003(124):94-97.
[72]王强,沈永平,陈英武,多属性决策支持向量机模型与算法[J].控制与决策,2006.12:1338-1440.
[73]王江,龚丽.中国农产品技术性贸易壁垒预警体系的框架研究[J].科学管理研究,2006 (4):71-74.
[74]李全喜,张欣,五姣.先进制造模式下的质量链管理[J].科学与科学技术管理,2004.7.
[75]李秀,应维云,刘文煌.CIMS环境下产品质量系统工程[M].北京:机械工业出版社,2004:20-20.
[76]苏伟伦.戴明管理思想核心读本[M].北京:中国社会科学出版社,2003.5.
[77] [美]里夫金.欧洲梦-21世纪人类发展的新梦想[M].重庆:重庆出版社,2006.
[78]蒋国瑞,赵新竹.技术性贸易壁垒预警指标体系建立及其应用[J].科技进步与对策,2006( 9) :119-122.
[79]翟东生,张书杰,余旸等.TBT监测预警系统设计与开发[J].北京工业大学学报,2005( 4) :358-361.
[80]任运河,山东省绿色农业评价、预警体系研究[D].泰安:山东农业大学,2006
[81]梁乃刚,质量管理与可靠性[M],机械工业出版社,北京,1995
[82] GB/T 14437-1997.产品质量监督计数一次抽样检验程序及抽样方案[S].北京:中国标准出版社.
[83] GB/T 16306-1996.产品质量监督复查程序及抽样方案[S].北京:中国标准出版社.
[84]杨旭,王东鹏,马玉林.基于CIMS环境下的质量管理信息系统的设计[J].CIMS剪报,2000.9:22-25
[85]张研婷.质量链质量经济效益分析与评价方法研究[D].吉林:吉林大学,2006.
[86]省质量技术监督局.浙江省质量技术监督局行政执法职权分解表[EB/OL]. http://www.zjbts.gov.cn/010010001/2007011600014.htm
[87]雷海章,王芳.关于建立循环经济的绿色制度的探讨[J].福建农林大学学报(哲学社会科学版) ,2004(3):35.
[88] Federal Minister for the Environment. Toward Sustainable Development in Germany〔Z〕1Government of the Federal Republic of Germany ,1997.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |