Customized Product Modular Instance Matching And Design Scheme Decision-making Technologies And Their Applications In Parking System

Customization has been the development trend of manufacturing industry. Enterprise must rapid response the customerized requirement and provide with competitive product solutions, which have good quality and low cost. Around customized product design methods and design schemes decision-making problem, some key technologies were studied. Customized product module partition method based on DSM, module instance matching for quality-cost optimization and control, multi-criteria decision making for product design schemes based on semantic PROMETHEE were proposed in this thesis. On the basis of the theoretical research, a special parking system design platform, was developed. The dissertation is organized as follows:In the first chapter, customized product design theory and parking system was introduced. Then, some key technologies of customized product design were summarized and their research status was reviewed. Finally, the full-text research background, topics, research contents and organizational structure were given.In the second chapter, customized product module partition method based on DSM was proposed. This thesis used quantified scales to describe the space, energy, signal, materials dependence of components in customized product. It was a rational way to measure their coupling relationship. Then, making use of DSM in dealing with coupling information, a DSM of customized product was built. DSM of customized product was transformed into a optimized one assisted by its visual correlation structure tree. After DSM regulated its rows and columns position, components of customized product clustered according to their dependence relationship. All of potential modules were identified by a module intensity indicator.In the third chapter, customized product module instance matching for quality-cost optimization and control was given. The effects of module instance matching scheme on quality and cost of customized product was analyzed firstly. Matter element model was given to evaluate module instance's quality and then module instance's cost was analyzed too. Quality and cost of a whole customized product were calculated by recursive algorithm according top-to-down of the product structure tree. Aiming at maximizing customized product's quality and minimizing its cost, a quality-cost optimization and control model was built to achieve the best module instance matching scheme.In the fourth chapter, a multi-criteria decision making method for customized product design schemes based on semantic PROMETHEE were proposed. Weight preference function and semantic preference function measuring the preference of decision makers were defined to improve the limitations of preference function of traditional PROMETHEE method in both type selection and data processing. Through different semantic translation models, the multi-granularity natural semantic hybrid decision information including single type and interval type was translated into equivalent 2-tuple type which was taken as fidelity information input for semantic preference function. Then, the basic principle of semantic PROMETHEE method was applied to customized product design schemes group multi-criteria decision making.In the fifth chapter, on the basis of the theory and method discussed above, XIZI-SIP has been developed and applied in parking system industry. The application and implement result of this platform have demonstrated the feasibility and validity of the theories and the methods.In sixth chapter, all achievements of the dissertation are summarized so as to put forward the further research.