發(fā)布時(shí)間：2019-04-13 09:50

【摘要】：隨著市場(chǎng)競(jìng)爭(zhēng)日趨激烈，客戶需求呈個(gè)性化、多樣化的態(tài)勢(shì)，以滿足客戶多樣化需求為目標(biāo)的大批量定制越來越受到企業(yè)和研究人員的重視。作為聯(lián)系客戶個(gè)性化的定制需求與企業(yè)大批量生產(chǎn)的紐帶，大批量定制產(chǎn)品配置是實(shí)現(xiàn)企業(yè)與客戶共同要求的有效途徑。本文在分析大批量定制產(chǎn)品配置的研究成果的基礎(chǔ)上，引入人工神經(jīng)網(wǎng)絡(luò)，從客戶需求出發(fā)，討論了大批量定制產(chǎn)品配置過程，研究了相應(yīng)的產(chǎn)品功能-結(jié)構(gòu)模型，并探討了大批定量制產(chǎn)品配置平臺(tái)的構(gòu)建，最后嘗試把大批量定制產(chǎn)品配置的思想應(yīng)用于酒后駕駛執(zhí)法管理系統(tǒng)中，給出了應(yīng)用實(shí)例。 第一章在對(duì)大批量定制與產(chǎn)品配置的提出、發(fā)展、融合以及國(guó)內(nèi)外大批量定制產(chǎn)品配置相關(guān)研究現(xiàn)狀進(jìn)行了分析，并在分析人工神經(jīng)網(wǎng)絡(luò)在大批量定制產(chǎn)品配置領(lǐng)域內(nèi)應(yīng)用現(xiàn)狀的基礎(chǔ)上，提出了本文研究?jī)?nèi)容，給出了論文的總體框架。 第二章在探討產(chǎn)品配置設(shè)計(jì)在大批量定制中的作用的基礎(chǔ)上，提出了產(chǎn)品配置是大批量定制的窗口，然后在分析客戶需求的基礎(chǔ)上，討論了客戶需求的獲取與識(shí)別方法，并構(gòu)建了大批量定制產(chǎn)品配置中客戶需求識(shí)別的人工神經(jīng)網(wǎng)絡(luò)模型，最后基于客戶對(duì)于產(chǎn)品知識(shí)的了解程度與配置要求，分析了面向客戶的大批量定制產(chǎn)品的配置過程。 第三章在分析大批量定制環(huán)境下產(chǎn)品族模型建模要求的基礎(chǔ)上，基于從產(chǎn)品功能到結(jié)構(gòu)的映射，討論了面向客戶的產(chǎn)品功能-結(jié)構(gòu)模型及其建立過程，最后以汽車車輪鎖的產(chǎn)品功能-結(jié)構(gòu)模型為例進(jìn)行了分析。 第四章針對(duì)目前產(chǎn)品配置設(shè)計(jì)中案例方法隨著案例庫的增加，檢索速度線性下降的缺點(diǎn)，提出了在配置案例庫和推理機(jī)制中應(yīng)用人工神經(jīng)網(wǎng)絡(luò)的方法，把神經(jīng)網(wǎng)絡(luò)和案例的方法結(jié)合起來，進(jìn)行產(chǎn)品配置求解，從而形成了基于人工神經(jīng)網(wǎng)絡(luò)的配置方法。最后提出了大批量定制產(chǎn)品配置平臺(tái)的方案。 第五章采用大批量定制產(chǎn)品配置的思想來研究酒后駕駛執(zhí)法管理系統(tǒng)的構(gòu)建，在分析我國(guó)酒后駕駛執(zhí)法現(xiàn)狀及系統(tǒng)需求的基礎(chǔ)上，提出了酒后駕駛執(zhí)法系統(tǒng)構(gòu)建方案，并給出了呼氣酒精檢測(cè)管理的實(shí)施實(shí)例。 第六章在對(duì)本文研究?jī)?nèi)容進(jìn)行總體概況的基礎(chǔ)上，，分析了研究中的不足，并對(duì)大批量定制產(chǎn)品配置的研究和應(yīng)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.
【學(xué)位授予單位】：浙江理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類號(hào)】：TP183;TH186

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