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Mixed-configuration Instance Solving and Non-standard Scheme Evaluation Technologies for a Type of Order Product and Their Application

Author: JuYongBing
Tutor: TanJianRong；FengYiXiong
School: Zhejiang University
Course: Mechanical Design and Theory
Keywords: Order products Rapid Response Design Illustration Program evaluation Structural relationship matrix Product family model Multi-scale hybrid configuration Fuzzy Multiple Attribute Decision Making
CLC: F224
Type: Master's thesis
Year: 2012
Downloads: 17
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Abstract


Order-oriented design and production has become the major trends in today's manufacturing industry. When faced with the individual needs of customers, companies must be able to respond quickly, and to provide customers with high quality, low-cost solutions. This paper focuses on solving a class of order-type design and program evaluation issues in-depth study, given the technology built on the orders of the structural relationship matrix product family model, solution techniques based on the order type of multi-scale hybrid configuration design examples based on non-standard order type fuzzy MADM program evaluation techniques. Finally, based on the development of integrated elevator products instance solving and program evaluation \The main research contents are as follows: the first chapter. A brief overview of the characteristics of the order-type products as well as product design strategy elevator; expounded order products product family design, configuration design Technical Research and program evaluation; design question of the evolution of the product family model, repetitive and redundant design examples for solving problems, as well as non-standard program evaluation fuzzy uncertainties; Finally, the full text of the study background, main contents and the full text of the structural framework. Chapter II product family model based on the structure of the relationship matrix orders building technology. First, based on the principle of division of the product family module to establish product family components model library; Secondly, the structural relationship matrix product family structure model expression; Finally, the structural relationship matrix as a link to create a demand for domain model domain rules domain instance domain mapping model, so as to form a complete product family configuration model. Chapter order type of product design based on multi-scale hybrid configuration instance solving techniques. Product family configuration platform to establish the configuration requirements for domain the configuration instance domain, configuration model domain among multi-scale mapping relationship, the formation of the product family mapping domain. Customer needs into multi-scale configuration requirements, mapping input to the product family domain, to obtain the corresponding scale instances and no corresponding scales instance model, multi-scale mixed transplantation dynamic configuration model. Configuration requirements, based on multi-scale configuration rules and Configuration instance, design examples for solving dynamic configuration model, the overall configuration program. Chapter order type of non-standard program evaluation based on fuzzy multi-attribute decision-making technology. Encountered in the solution process for the dynamic model examples of non-standard module reasoning solving, so the reasoning part on program evaluation, the most suitable for solving program. Introduction of fuzzy multi-attribute decision theory, take full account of the performance of the product, the customer's needs and preferences, evaluation configuration programs come closest to the customer needs. Chapter analysis combined with the actual project, developed the Examples of integration elevator products solving and program evaluation technology \The actual application of the system in the enterprise, and verify the feasibility and correctness of the theory and methods presented in this paper. Chapter VI summarizes the research content and the main work of the full text, and the direction of future work prospects.

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CLC: > Economic > Economic planning and management > Economic calculation, economic and mathematical methods > Economic and mathematical methods
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