Research On The Model Of Product Quality Control And The Arithmetic Of Data Mining Based On Knowledge Reuse

Product life cycle quality control plays an important role in helping enterprises create better market position in a competitive marketplace. As the trend of demanding more flexibility in product customization grows, product quality control needs more intelligent correlative data process and utilization on data gathered from product life cycle in all stages. Intelligent and integrated quality management information system has recently attracted a lot of research and industrial interests, subjects in related technology are becoming hotspots in advanced manufacturing and quality assurance systems.This dissertation aiming at the organization, transaction and utilization of the product process quality data model, date mining of the quality characteristic and interrelated attribute, combination of the quality data with construct of the parts or components. Then give out a product quality data modeling—GBOM-QT (Generic-Bill-Of-Materials for Quality Tree),systematically researches on the GBOM-QT modeling, evolvement ,data mining, knowledge discover and rule reuse etc. Support by Science and Technology fund "The quality control and analysis system based on Datamining",the theory and methods presented in the dissertation have proved to be correct and advanced by the applications in a motor enterprises.The main content is presented as follows:Chapter 1 introduced the theory and technique of product quality control and information management. A brief history of product quality control and latest development were reviewed first. Knowledge-reuse based organization model of quality control, methods of modeling, information flow and system architecture, QFD modeling and its improvements, quality control and analyzing modeling in manufacturing process were discussed in great details. Knowledge organization, discovery and reuse for quality control, using data mining to find data relevancy, etc were also discussed, thus gave the research background, major purpose and the importance of this dissertation.In chapter 2 illustrates the characteristic of quality control such as status,process, heristeristic and structure etc. Some quality classify character is induced, such as quality plan, manufacture processing, fault diagnose and feedback.Then connotation of many knowledge is presented as structure,technique, detect , fault diagnose and analysis etc. Over above, the technique of the knowledge catching on quality control is put out, which can be implemented to optimal the product design,manufacture and assembly in quality control.The 3rd chapter analysis the relationship of between customer requirement and quality control,Product quality control data mining model, which is aiming at the product quality data and based on the BOM-QT, is presented. In the GBOM-QT, generic product structure and quality parameter is used to describe structural knowledge and rules to represent the implicit knowledge of a part or a component, this reduce the complexity of product quality control data. Presents a new framework to formalize describe the data structure of the GBOM-QT,and then the data definition of the GBOM-QT unit in form of XML.The methodology of the BOM-QT edit operation and the algorithm of the data mining in BOM-QT is discussed in Chapter 4. The minimum topological symmetric difference is used in calculate the similarity measure between trees. The method to transfer the non-order BOM-QT tree to ordered BOM-QT tree is denoted, and a improved way for the weighted symmetric difference between BOM-QT tree is presented, which include the influence of the node weighted distance. Then the algorithm of GBOM-QT trees combination from cluster, the constraints relation in XML scheme file transferred from GBOM-QT is also given.In chapter 5, the resolution of knowledge discover and rule reuse in quality control based on GBOM-QT model is discussed,which include the quality plan,quality control parameter selection auto building and checking. Quality control information is illustrated in drawing correlated with the processing data, such as SPC, fault diagnose etc. A new framework integrate case-based reasoning (CBR) with rule-based reasoning(RBR) based on GBOM-QT is put out.Deference from the data apart with the product structure, chapter 6 presents the superiority of the quality control based GBOM-QT data model. On the basis of this, then present the BOM_QT data can affect the quality state of the product,compenent and parts and improve measure. Supported by national and province science & technology program, a quality management information system centered on the processing quality control based GBOM-QT data model is developed and has been proved to be practical and valuable.In chapter 7, all achievements of the dissertation are summarized and the further research work is put forward.