基于人工神经网络的大批量定制产品配置设计研究与应用

发布时间：2019-04-13 09:50

【摘要】：随着市场竞争日趋激烈，客户需求呈个性化、多样化的态势，以满足客户多样化需求为目标的大批量定制越来越受到企业和研究人员的重视。作为联系客户个性化的定制需求与企业大批量生产的纽带，大批量定制产品配置是实现企业与客户共同要求的有效途径。本文在分析大批量定制产品配置的研究成果的基础上，引入人工神经网络，从客户需求出发，讨论了大批量定制产品配置过程，研究了相应的产品功能-结构模型，并探讨了大批定量制产品配置平台的构建，最后尝试把大批量定制产品配置的思想应用于酒后驾驶执法管理系统中，给出了应用实例。第一章在对大批量定制与产品配置的提出、发展、融合以及国内外大批量定制产品配置相关研究现状进行了分析，并在分析人工神经网络在大批量定制产品配置领域内应用现状的基础上，提出了本文研究内容，给出了论文的总体框架。第二章在探讨产品配置设计在大批量定制中的作用的基础上，提出了产品配置是大批量定制的窗口，然后在分析客户需求的基础上，讨论了客户需求的获取与识别方法，并构建了大批量定制产品配置中客户需求识别的人工神经网络模型，最后基于客户对于产品知识的了解程度与配置要求，分析了面向客户的大批量定制产品的配置过程。第三章在分析大批量定制环境下产品族模型建模要求的基础上，基于从产品功能到结构的映射，讨论了面向客户的产品功能-结构模型及其建立过程，最后以汽车车轮锁的产品功能-结构模型为例进行了分析。第四章针对目前产品配置设计中案例方法随着案例库的增加，检索速度线性下降的缺点，提出了在配置案例库和推理机制中应用人工神经网络的方法，把神经网络和案例的方法结合起来，进行产品配置求解，从而形成了基于人工神经网络的配置方法。最后提出了大批量定制产品配置平台的方案。第五章采用大批量定制产品配置的思想来研究酒后驾驶执法管理系统的构建，在分析我国酒后驾驶执法现状及系统需求的基础上，提出了酒后驾驶执法系统构建方案，并给出了呼气酒精检测管理的实施实例。第六章在对本文研究内容进行总体概况的基础上，，分析了研究中的不足，并对大批量定制产品配置的研究和应用作了展望。
[Abstract]:With the increasingly fierce competition in the market, customer needs are personalized and diversified. Mass customization, which aims to meet the diversified needs of customers, has been paid more and more attention by enterprises and researchers. As a link between customization demand of customers and mass production, mass customization product configuration is an effective way to realize the common requirements of enterprises and customers. On the basis of analyzing the research results of mass customization product configuration, this paper introduces artificial neural network, discusses the process of mass customization product configuration based on customer demand, and studies the corresponding product function-structure model. The construction of a mass quantitative product configuration platform is discussed. Finally, the idea of mass customization product configuration is applied to the drunk driving law enforcement management system, and an application example is given. In the first chapter, the status quo of mass customization and product configuration at home and abroad is analyzed, including the introduction, development, integration and domestic and foreign research status of mass customization and product configuration. On the basis of analyzing the application of artificial neural network in the field of mass customization product configuration, this paper puts forward the research contents and gives the overall framework of the paper. In the second chapter, on the basis of discussing the function of product configuration design in mass customization, the article puts forward that product configuration is the window of mass customization, and then, on the basis of analyzing customer requirements, discusses the methods of obtaining and identifying customer requirements. The artificial neural network model of customer requirement identification in mass customization product configuration is constructed. Finally, based on the customer's understanding of product knowledge and configuration requirements, the configuration process of customer-oriented mass customization product is analyzed. In the third chapter, on the basis of analyzing the requirements of product family modeling in mass customization environment, and based on the mapping from product function to structure, the customer-oriented product function-structure model and its establishment process are discussed. Finally, take the product function-structure model of automobile wheel lock as an example. In chapter 4, according to the shortcomings of case method in product configuration design, the retrieval speed decreases linearly with the increase of case base, a method of applying artificial neural network to configure case base and reasoning mechanism is proposed, and the method of using artificial neural network (Ann) in configuration case base and reasoning mechanism is proposed. The artificial neural network (Ann) is combined with the case method to solve the product configuration so as to form a configuration method based on artificial neural network (Ann). Finally, the scheme of mass customization product configuration platform is put forward. The fifth chapter adopts the idea of mass customization product configuration to study the construction of drunk driving law enforcement management system. On the basis of analyzing the current situation and system demand of drunk driving law enforcement in China, this paper puts forward the construction scheme of drunk driving law enforcement system. An example of breath alcohol detection management is given. In the sixth chapter, based on the general survey of the research contents of this paper, the shortcomings of the research are analyzed, and the research and application of mass customization product configuration are prospected.
【学位授予单位】：浙江理工大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TP183;TH186

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