本文選題：紙幣清分機(jī) + 產(chǎn)品族��； 參考：《大連理工大學(xué)》2013年博士論文

【摘要】：在日益激烈的國(guó)際市場(chǎng)競(jìng)爭(zhēng)環(huán)境中,金融機(jī)具行業(yè)企業(yè)面臨著盡快提供適合不同層次和群體的產(chǎn)品設(shè)計(jì)問題。紙幣清分機(jī)是金融領(lǐng)域現(xiàn)金處理業(yè)務(wù)的高端必備設(shè)備,具有結(jié)構(gòu)復(fù)雜、智能化程度高、市場(chǎng)需求變化快的特點(diǎn)。 本文針對(duì)面向大批量定制的紙幣清分機(jī)產(chǎn)品族設(shè)計(jì)過程中一些關(guān)鍵問題進(jìn)行了深入研究,目的是以最快的速度和最低的成本為客戶設(shè)計(jì)出滿足個(gè)性化需求的產(chǎn)品,結(jié)合紙幣清分機(jī)開發(fā)過程特點(diǎn),應(yīng)用產(chǎn)品族設(shè)計(jì)理論,詳細(xì)闡述了紙幣清分機(jī)產(chǎn)品族設(shè)計(jì)開發(fā)過程,并提出了產(chǎn)品族設(shè)計(jì)過程的配置優(yōu)化方法,并對(duì)研究成果進(jìn)行了驗(yàn)證和應(yīng)用。本文的主要研究?jī)?nèi)容敘述如下： (1)應(yīng)用基于設(shè)計(jì)公理的產(chǎn)品族設(shè)計(jì)理論提出紙幣清分機(jī)產(chǎn)品族設(shè)計(jì)過程。建立產(chǎn)品開發(fā)過程的多視圖模型和任務(wù)結(jié)構(gòu)模型,實(shí)現(xiàn)任務(wù)結(jié)構(gòu)模型到Petri網(wǎng)模型的映射定義并進(jìn)一步推導(dǎo)與工作流網(wǎng)的映射轉(zhuǎn)換關(guān)系,結(jié)合紙幣清分機(jī)的設(shè)計(jì)開發(fā)過程完成了任務(wù)結(jié)構(gòu)模型到工作流網(wǎng)的轉(zhuǎn)化并進(jìn)行了實(shí)例驗(yàn)證分析。 (2)提出一種面向產(chǎn)品族設(shè)計(jì)的紙幣清分機(jī)產(chǎn)品平臺(tái)核心模塊的確定方法。通過建立紙幣清分機(jī)產(chǎn)品的模塊關(guān)聯(lián)矩陣,采用變個(gè)體長(zhǎng)度的混合蛙跳算法優(yōu)化模糊聚類數(shù)和聚類中心,求得產(chǎn)品平臺(tái)構(gòu)成模塊的最優(yōu)模糊劃分,并應(yīng)用切斷算子和拼接算子對(duì)個(gè)體進(jìn)行重組形成新個(gè)體并進(jìn)行局部尋優(yōu),解決模糊C均值聚類局部極小值和初始化選值敏感性問題。在紙幣清分機(jī)產(chǎn)品族平臺(tái)設(shè)計(jì)中進(jìn)行了仿真驗(yàn)證,實(shí)現(xiàn)紙幣清分機(jī)模塊化產(chǎn)品族公共平臺(tái)和核心模塊的有效確定。 (3)提出了產(chǎn)品族設(shè)計(jì)過程中產(chǎn)品族配置性能預(yù)測(cè)方法。在基于遞階支持向量機(jī)的配置綜合性能預(yù)測(cè)方法框架下對(duì)紙幣清分機(jī)產(chǎn)品族的歷史數(shù)據(jù)庫(kù)進(jìn)行數(shù)據(jù)挖掘,預(yù)測(cè)新配置產(chǎn)品的性能,提出一種改進(jìn)混合蛙跳算法來優(yōu)化SVM模型的核函數(shù)參數(shù)和誤差懲罰因子,應(yīng)用模擬退火算法提高算法的局部搜索能力和收斂速度,通過以紙幣清分機(jī)產(chǎn)品族為實(shí)例的仿真實(shí)驗(yàn)并對(duì)比其他方法驗(yàn)證所提預(yù)測(cè)方法的有效性,為準(zhǔn)確、快速地進(jìn)行紙幣清分機(jī)產(chǎn)品族配置提供了有效方法,滿足多樣化的客戶需求。
[Abstract]:In the increasingly fierce international market competition environment, financial machinery industry enterprises are faced with the problem of providing product design suitable for different levels and groups as soon as possible. Banknote sorting machine is the high-end necessary equipment for cash processing in the financial field. It has the characteristics of complex structure, high intelligence and fast changing market demand. In this paper, some key problems in the product family design of the paper money sorter for mass customization are studied in depth. The purpose of this paper is to design the products to meet the individual requirements with the fastest speed and the lowest cost for the customers. Based on the characteristics of the development process of the paper currency sorting machine and the application of the product family design theory, the design and development process of the product family of the paper currency sorting machine is expounded in detail, and the configuration optimization method of the product family design process is put forward. The research results are verified and applied. The main contents of this paper are as follows: 1) applying the product family design theory based on design axiom, the paper currency sorting machine product family design process is put forward. The multi-view model and the task structure model of the product development process are established, and the mapping definition from the task structure model to the Petri net model is realized, and the mapping transformation relationship with the workflow net is further deduced. Combined with the design and development process of banknote sorting machine, the transformation of task structure model to workflow net is completed, and an example is given to verify and analyze it. This paper presents a method for determining the core module of the product platform of the banknote separator designed for the product family. By establishing the module correlation matrix of the paper currency sorter, the fuzzy clustering number and the cluster center are optimized by using the mixed leapfrog algorithm with variable individual length, and the optimal fuzzy partition of the product platform is obtained. Then, cutting operator and splicing operator are used to recombine the individual to form a new individual and to search for local optimization. The problem of sensitivity of fuzzy C-means clustering local minimum and initial selection value is solved. In the design of the product family platform of the paper currency sorting machine, the simulation is carried out to realize the effective determination of the common platform and the core module of the product family of the paper currency sorting machine. 3) the performance prediction method of product family configuration in the process of product family design is put forward. In the framework of hierarchical support vector machine (SVM) based configuration comprehensive performance prediction method, the historical database of the product family of banknote sorting machine is mined to predict the performance of the new configuration product. An improved hybrid leapfrog algorithm is proposed to optimize the kernel function parameters and error penalty factors of SVM model. The simulated annealing algorithm is applied to improve the local search ability and convergence speed of the algorithm. Through the simulation experiment of the product family of banknote sorting machine and comparing with other methods to verify the effectiveness of the proposed prediction method, this paper provides an effective method for accurate and rapid configuration of the product family of the paper currency sorter, and meets the diverse customer needs.
【學(xué)位授予單位】：大連理工大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2013
【分類號(hào)】：TH693.5

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