Research On Technologies And Applications Of Robust Design For Customization Products Oriented To Quality Characteristics

To deal with the contradiction between the customilized level and quality robustness of product, a new technology of robust design for customization products oriented to quality characteristics is proposed in this dissertation, which is mainly consisted of the construction of product quality, the optimization extraction method of product quality characteristics, the partition and reconfiguration of product module, the robust programming of product family and the design of selective assembly and assembly line balancing. Furthermore, the effective applications on practical projects proved advancement and validity as well.The main contents of this dissertation are as follows:Chapter 1 gives the reviews of quality characteristics and customization product design. The connotation and current research of robust design are discussed as well. Based on the analyzing the deficiencies in existing method of robust design for customization product, the main ideas and research background of robust design for customization products oriented to quality characteristics are given.Chapter 2 analyzes the basic quality viewpoint about product, discusses the characteristics of quality conception for customization products, proposes the concept of quality matter-element for customization products, gives the expression method of quality matter-element, and constructs the multidimensional quality matter-element model by matter-element transformation based on extension logic. And then extension evaluating method of multidimensional quality matter-element for customization products is put forward. The instance of model construction and quality evaluating for Computerized Numerical Control (CNC) machining center is given to illustrate the feasibility of the methods.Chapter 3 proposes an extraction method of quality characteristics for the segmentation of customer groups based on evidence reasoning. The matter-element description, the relationship and the selection for customer requirements are researched, and the calculation method of the similarity measure for customer requirements matter-element is given, then applying matter-element ant colony clustering algorithm to segment the customer requirement groups. Moreover, the evidence model of group belief degree about customer requirement, quality characteristics and interrelation among quality characteristics is built up firstly, then the importance degree of customer requirement, the initial importance degree of quality characteristics and the interrelation among quality characteristics are deduced by evaluation evidence fusion and recursive reasoning. In addition, the decision-making optimization model based on integer programming is constructed to extract the quality characteristics for the segmentation of customer requirement groups. The abovementioned approaches are applied to the case of CNC machining center on segmenting customer requirement groups and extracting quality characteristics to demonstrate the advantage.Chapter 4 proposes the method of product module partition and reconfiguration based on quality criterion. The variation of components arisen by the change of quality requirement is researched as the criterion of module partition, and the calculation method of interactive variation degree about quality requirements and product components is given accordingly. Then the extended Interpretive Structure Modeling(ISM) is developed to describe the interactive relationship of product components, and the initial allocation of modules is formed by decomposing the extended ISM. Moreover, the calculation methods concerning the clustering degree, the coupling degree and the approximation degree of quality requirements are presented. The reconfiguration programming model of modules is proposed correspondingly. Finally, the module partition and reconfiguration of GMC CNC machining center is analyzed as an instance.Chapter 5 proposes the method of product family robust programming based on the fluctuation of multiple quality characteristics. Aiming at the fluctuation problem incurred by the stochastic change of design parameters for the quality characteristics of product family, the conception defined as multiple quality characteristics robust index and its calculation method is presented, then, taking the robust index as the constraint condition, the robust optimization model of product family design is constructed. During the programming of product family, the platform parameters are chosen through analyzing the sensitivity of the design parameters firstly. Then, the Fuzzy C-Means clustering algorithm was applied to determine the share strategy of platform parameters by clustering the performance variation. At last, the robust optimization of instance products is implemented to carry out the integration optimization of design objective and design robustness. The feasibility and effectiveness of proposed approach are demonstrated by the robust optimization design of CNC machining center's micro-motor families.Chapter 6 proposes a optimization method of selective assembly and assembly line balancing based on.Taguchi's quality. The. calculation formulae of instance robustness and product assembly robustness are given. Based on above foundation, the mathematical programming model of robust selective assembly for customization product is built up with the goal of optimal assembly combination of module instances. Moreover, concerning the objectives of line idle rate, workload smoothness and assembly cost, the multi-objective optimization mathematical model of assembly line balancing is formulated, and a multi-objective ant colony algorithm to solving the assembly line balancing is proposed by combining the ant colony optimization algorithm and Pareto filter technology. Finally, the case of CNC machining center's key components which is revolving tool holder and controlled robotic arm is provided to illustrate the proposed model and algorithm.Chapter 7 develops the CNC machine customization robust design system (CNC-CRDS) oriented quality characteristics with the project requirement and research results, which shows the validity and feasibility of the new theory and method proposed in the dissertation.Chapter 8 summarizes the key research contents and achievements, and givens conclusions along with recommendations for future research.