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Research On The Key Technology Of Customer Requirements Processing Of Design For Mass Customization

Posted on:2009-05-16Degree:DoctorType:Dissertation
Country:ChinaCandidate:L Y ZhuFull Text:PDF
GTID:1119360245471891Subject:Mechanical design and theory
Abstract/Summary:PDF Full Text Request
With the updating of management ideology, the changing of market environment, and the development of information technology and advanced manufacturing technology, a novel production pattern is Mass Customization (MC) which is gradually springing up and taking place of traditional Mass Production (MP) to become the popular manufacturing pattern for modern enterprise. MC is a kind of requirements-oriented and requirements-pull production pattern with taking customer requirements (CRs) as jumping-off point. Customer requirements is the motivity of driving design for MC(DFMC) and an important basis for directing product design, its processing methods and technology run throughout the whole of product life cycle. Based on the analysis of DFMC process, this dissertation deeply studies and discusses such problems as the concept, classification and characteristics of customer requirements, customer requirements acquisition and normativeness, the method of grouping requirements, the transformation of customer requirements, requirements processing in the stage of rapid product design (RPD), and customer satisfaction for product, etc. The main research works of the dissertation are as follows:In the 1st chapter, the formation and development of MC are expatiated, and the relevant concepts are summarized. The issues of customer requirements processing of DFMC are analyzed in detail, and a review of their international and internal research status are presented. Finally, the author brings up the meaning of project and main contents of this dissertation.In the 2nd chapter, the characteristics and classification of customer requirements are analyzed and summarized based on its definition for MC. Moreover, the difficulties, basal step and three approaches of requirements acquisition are presented. According to the analysis of original customer requirements information, a process model of requirements normativeness is built. A system of customer requirements information based on SQL Server2000 is developed utilizing VC++ tool. Finally, an application about Data Mining technology in customer requirements analysis is discussed.In the 3rd chapter, the author analyzes product family (PF) planning of DFMC and builds a planning model based on grouping customer requirements at the beginning. Because customer requirements are fuzzy and its attributions are mixed, current variety of clustering algorithms are unable to directly compute similarity between customer requirements. So, fuzzy set theory is introduced to resolve this problem. By converting the value of all attributions of customer requirements to triangular fuzzy numbers, customer requirements are classified into groups utilizing fuzzy clustering algorithm. Finally, an example is given to illustrate this approach to group requirements.In the 4th chapter, the house of quality (HOQ) used in product planning is expatiated and its shortcomings are pointed out. Some conventional models of HOQ take no account of interrelationships among customer requirements. A modified HOQ based on the fuzzy analytic network process (FANP) is built to translate the customer requirements into measurable product technical requirements (PTRs). The FANP method is employed to weight based on the important levels of CRs and PTRs, which considered the interrelationships among the CRs and PTRs. It makes the result of product planning more accurate. Furthermore, the proposed mapping procedure takes into account the multi-objective nature of the problem incorporating other goals such as cost resource utilization ratio and feasibility of PTRs. A model of fuzzy linear programming (FLP) is presented to determine the optimal PTRs. The coefficients of the objective function are obtained from a FANP approach. A case is given to illustrate the application of proposed framework.In the 5th chapter, first, in allusion to inconsistency between fuzziness of customer requirement information and accuracy of design cases characters value in design retrieval, on the basis of analysis of fuzzy customer requirement information presentation, relevant membership function is constructed to transform design cases characters value into fuzzy customer requirement information membership grade. According to the principle of maximum weighted membership grade, the best matching design case is found out. The detailed process of design retrieval for fuzzy customer requirement information is given. An example shows this method is feasible and effective. Then, a method to confirm importance of CRs is presented by applying the fuzzy consistent matrix instead of the pairwise comparison matrix in analytic hierarchy process (AHP). The proposed method can overcome the inconsistencies of the pairwise comparison matrix, thus the importance of CRs is determined with more facility, objectivity and reasonability. Finally, in order to solve the problem of multi-objectives decision-making of product configuration, an improved algorithm based on genetic algorithm (GA) is proposed by minimizing cost and time to market and maximizing degree of satisfying CRs as objectives. The fitness function of proposed algorithm is set up and its value is calculated based on the relative membership degree of fuzzy optimum theory.In the 6th chapter, the concept of customer satisfaction for product is presented. Base on analyzing of all influence factors of customer satisfaction for product, evaluation index architecture is constructed according to the function, quality, extension and value of product, and the weights of factors are confirmed by the AHP method based on fuzzy consistent matrix. A multi-level fuzzy comprehensive evaluation mathematic model for customer satisfaction for product is built. Finally, an example is given to show how the method can be applied in practice.In the 7th chapter, all achievements of this dissertation are summarized, and the main innovations are mentioned. And the problems waiting to research in the future are put forward.
Keywords/Search Tags:Design for Mass Customization, Customer Requirement, Product Family, Triangular Fuzzy Number, House of Quality, Analytic Network Process, Design Retrieval, Membership Function, Customer Satisfaction for Product
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