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本文深入探讨了在MES环境下，汽车总装车间质量数据的采集与管理技术。作者基于XML技术和Web Services技术，实现了异构系统质量数据的集成采集，提出了以装配品质BOM来组织管理质量数据的新方法。此外，还研究了质量数据的统计分析方法，包括排列图、因果图和SPC控制图的应用，以及工序能力指数的综合评价。这些研究成果对于提升我国汽车企业的质量管理水平具有重要的理论意义和实践价值。
文件名称：MES环境下汽车总装车间质量数据采集与管理技术研究.pdf
文件类型：PDF文档
文件标签：汽车制造、MES系统、质量数据管理
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华中科技大学
硕士学位论文
MES环境下汽车总装车间质量数据采集与管理技术研究
姓名：陈帅
申请学位级别：硕士
专业：机械电子工程
指导教师：张国军; 朱海平
20090501
I
摘
要
质量是现代企业生存和发展的决定性因素之一。汽车总装是汽车生产的最后一个
环节，在汽车企业的质量管理中起着举足轻重的作用，而质量数据是现代企业质量管
理的前提和基础。本文较全面地研究了汽车总装车间质量数据的采集与管理的理论、
技术和实现，对我国汽车企业提高质量管理水平具有一定的理论意义和实践价值。
在总结质量数据采集、组织和分析历史和现状的基础上，首先分析了汽车总装车
间质量数据采集的内容与方法，并采用XML 技术和Web Services 技术实现了汽车总装
车间各异构系统质量数据的集成采集，为质量数据的完整的组织管理创造了前提条
件。
其次，针对传统汽车企业车间的质量数据组织管理中存在的不足，提出以装配品
质BOM 来组织管理汽车总装车间的质量数据。并且详细研究了汽车装配品质BOM 的
构建及生成过程，最终实现了汽车总装车间质量数据合理、完整、有序的组织和管
理，有利于汽车总装车间质量数据统计分析的成功实施。
接着，本文具体研究了汽车总装车间质量数据的统计分析方法。采用排列图和因
果图对质量数据进行静态分析，从而找出影响装配质量的关键工序及其质量影响因
素；然后，利用SPC 控制图对这些关键工序和质量影响因素进行动态分析，实时控制
这些工序及其质量影响因素；并且采用工序能力指数对工序能力进行综合评价。它们
为汽车总装车间质量问题的发现和解决提供了科学有效的分析方法。
最后，在上述技术研究的基础上，本文设计开发了JacMES 系统中汽车总装车间
质量数据采集和管理模块，基本实现了对汽车装配车间质量问题的及时准确发现、预
测和控制。
关键词： MES 质量数据 数据采集 统计分析
II
Abstract
It's undisputable fact that quality is one of decisive factors for modern enterprise's
surviving and developing. As the final link of the automobile production,Automobile
assembly play an important role in quality management of automotive. The quality data is the
basis and precondition of quality management in modern enterprise.The theory, technology
and implementation of quality data acquisition, organization and analysis in automobile
assembly workshops is researched all around in this thesis. What has profound some
theoretical significance and practice value for the enterprises to improve the level of quality
management.
On the basis of summarizing the history and current situation of acquisition, organization
and analysis of quality data, firstly, the content and methods of the acquisition of quality data
in automobile assembly workshops is analyzed, by adopting XML technology and Web
Services technology the quality data integrated acquisition in heterogeneous system of
automobile assembly workshops is achieved, which is a prerequisite for complete
organization and management of quality data.
Secondly, Aiming at the shortcomings of organization and management of quality data in
traditional automobile enterprises workshops, organizing quality data in automobile assembly
workshops by assembly quality bill of materials is advanced. Furthermore, the construction
and generation process of assembly quality bill of materials is researched in detail. The
reasonable, integrity and orderly organization and management of product quality data is
achieved ,which is beneficial to carrying out quality data statistical analysis.
In addition, the statistical analysis methods of quality data in automobile assembly
workshops is specific studied.By adopting permutation chart and causal analysis chart ,The
key processes and theirs quality factors which affecting the assembly quality mostly is found ;
While the dynamic analysis of quality data can contol these key processes and quality factors
by adopting SPC control chart. Moreover, and the process capability indices is used to
comprehensively evaluate process
capability. which provide scientific and effective analysis
methods for discovering and solving quality problems in automobile assembly workshops.
Finally, based on the technology research ...