本文關(guān)鍵詞：面向大批量定制產(chǎn)品配置關(guān)鍵技術(shù)與集成應(yīng)用研究　出處：《合肥工業(yè)大學(xué)》2013年博士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 大批量定制 產(chǎn)品配置 客戶需求 需求映射 產(chǎn)品族配置單元 配置模型 復(fù)合推理 需求增溢 綜合滿意度 配置優(yōu)化 遺傳算法 產(chǎn)品數(shù)據(jù)管理

【摘要】：隨著市場(chǎng)經(jīng)濟(jì)的發(fā)展和科學(xué)技術(shù)的不斷進(jìn)步,市場(chǎng)環(huán)境也在隨之發(fā)生改變。當(dāng)前,制造業(yè)競(jìng)爭(zhēng)的全球化和客戶需求的多樣化對(duì)企業(yè)提出了新的要求,企業(yè)必須重視客戶的個(gè)性化和多樣化需求,能夠?qū)蛻粜枨笞龀隹焖夙憫?yīng)并提供高質(zhì)量、低價(jià)格、客戶滿意的產(chǎn)品是實(shí)現(xiàn)自身生存和發(fā)展的根本方針。大批量定制(Mass Customization, MC)是實(shí)現(xiàn)上述目標(biāo)的有效途徑,而產(chǎn)品配置設(shè)計(jì)是MC整體技術(shù)方案體系中最為重要的一環(huán),在此背景下,高效產(chǎn)品配置方法與技術(shù)的研究得到企業(yè)和學(xué)者廣泛而持續(xù)的關(guān)注。本文系統(tǒng)地研究了MC模式下產(chǎn)品配置設(shè)計(jì)周期各階段的關(guān)鍵技術(shù)和方法,具有重要的理論和實(shí)踐意義。 論文首先總結(jié)了大批量定制相關(guān)的技術(shù)體系結(jié)構(gòu),闡述了產(chǎn)品配置設(shè)計(jì)在實(shí)現(xiàn)MC目標(biāo)所起的重要作用,對(duì)產(chǎn)品配置相關(guān)領(lǐng)域的國(guó)內(nèi)外研究現(xiàn)狀進(jìn)行了歸納和總結(jié),針對(duì)該方向研究中存在的一些問(wèn)題和不足,提出了本文的研究思路和內(nèi)容。 客戶需求是產(chǎn)品配置設(shè)計(jì)的源頭數(shù)據(jù),對(duì)于特定客戶需求信息的快速準(zhǔn)確獲取和轉(zhuǎn)化是實(shí)現(xiàn)有效產(chǎn)品配置的前提條件。論文在深入分析MC環(huán)境客戶需求特點(diǎn)的基礎(chǔ)上,提出了客戶需求獲取分解及處理的方法并建立了一套完整的形式化需求語(yǔ)義模型。在客戶需求轉(zhuǎn)化研究方面,采用客戶需求項(xiàng)與產(chǎn)品質(zhì)量特征項(xiàng)概念相似度計(jì)算方法確定二者的映射方式�？紤]到產(chǎn)品質(zhì)量特征之間存在的關(guān)聯(lián)關(guān)系,提出一種改進(jìn)的產(chǎn)品質(zhì)量特征重要度計(jì)算方法。設(shè)計(jì)了客戶需求值映射的流程步驟,并通過(guò)實(shí)例驗(yàn)證了上述需求獲取轉(zhuǎn)化方法的有效性。 為實(shí)現(xiàn)快捷有效地配置求解,需建立一個(gè)層次結(jié)構(gòu)清晰,知識(shí)表達(dá)完整的產(chǎn)品配置模型。論文采用面向?qū)ο蠓椒ń⒘丝芍赜卯a(chǎn)品族配置單元(PFCU)模型,采用框架結(jié)構(gòu)對(duì)PFCU蘊(yùn)含的知識(shí)進(jìn)行表達(dá),對(duì)PFCU的配置特征、關(guān)聯(lián)關(guān)系進(jìn)行了深入地研究。建立了一個(gè)基于PFCU的產(chǎn)品族配置模型,通過(guò)實(shí)例提出了該模型的完整建模步驟。 產(chǎn)品配置求解是一個(gè)典型的知識(shí)推理過(guò)程。論文采用基于實(shí)例推理和基于產(chǎn)品族配置模型推理方法相集成的策略實(shí)現(xiàn)客戶需求驅(qū)動(dòng)下的產(chǎn)品配置求解,建立了產(chǎn)品復(fù)合配置求解框架。針對(duì)基于實(shí)例求解方法中的實(shí)例相似度匹配問(wèn)題,提出了客戶需求增溢的概念,建立了分段式滿意度指數(shù)函數(shù)計(jì)算客戶綜合滿意度。針對(duì)多產(chǎn)品族環(huán)境下的客戶需求目標(biāo)產(chǎn)品族定位問(wèn)題,提出了產(chǎn)品族決策屬性PFDF的概念并建立了PFDF的信息增益值計(jì)算方法以實(shí)現(xiàn)客觀確定屬性集的優(yōu)先級(jí)排序。采用基于配置特征表的PFCU實(shí)例表達(dá)方法,建立了基于產(chǎn)品族配置模型的推理求解流程及算法。 針對(duì)產(chǎn)品配置求解中配置約束較少的情況,提出了配置欠約束的概念,構(gòu)建了一個(gè)面向欠約束產(chǎn)品配置優(yōu)化模型,該模型以產(chǎn)品綜合性能、成本及交貨期為主要驅(qū)動(dòng)目標(biāo),實(shí)現(xiàn)了產(chǎn)品的整體擇優(yōu)評(píng)價(jià)。在此模型基礎(chǔ)上,提出了改進(jìn)的非支配排序遺傳算法進(jìn)行優(yōu)化求解,在該算法中采取非支配排序與多維小生境計(jì)算技術(shù)相結(jié)合的方式改進(jìn)種群個(gè)體的選擇及擇優(yōu)判斷方法。通過(guò)仿真實(shí)例驗(yàn)證了該算法可行性和有效性,通過(guò)與其他多目標(biāo)優(yōu)化算法的求解比較,說(shuō)明了該算法求解效率的優(yōu)良性。 為提供對(duì)產(chǎn)品配置相關(guān)設(shè)計(jì)活動(dòng)的計(jì)算機(jī)輔助支持,設(shè)計(jì)并開(kāi)發(fā)了一個(gè)集成產(chǎn)品配置功能的PDM系統(tǒng)。設(shè)計(jì)了該軟件系統(tǒng)的體系結(jié)構(gòu),分析了該系統(tǒng)的主要功能模塊組成,并結(jié)合應(yīng)用實(shí)例介紹了該系統(tǒng)的運(yùn)行實(shí)現(xiàn)過(guò)程。
[Abstract]:With the continuous development of market economy and the progress of science and technology, the market environment is also changed. At present, the diversification of manufacturing competition globalization and customer demand and put forward new requirements for enterprises, enterprises must pay attention to the customer's personalized and diverse needs, can make quick response to customers and provide high quality, low demand price, customer satisfaction of products is the fundamental approach to achieve their own survival and development. Mass customization (Mass Customization MC) is an effective way to achieve the above objectives, product configuration design is the most important part in the overall technical scheme of MC system, in this context, research and technology, product configuration method by enterprises and scholars widely attention. This paper studied the key technologies and methods in each stage of product configuration design cycle under the MC model, which has important theoretical and Practical significance.
This paper first summarizes the technology of mass customization system structure, this paper expounds the important functions of product configuration design in the implementation of the objectives of the MC, the research status at home and abroad and summed up the product configuration in related fields, aiming at the direction of some of the problems and deficiencies, put forward the research ideas and content.
Customer demand is the source of data for a specific product configuration design, customer demand information fast and accurate acquisition and transformation is the premise of effective product configuration. Based on the deep analysis of MC customer demand characteristics, put forward and obtain the decomposition processing method and established a complete set of formal requirement semantic model the needs of customers. In the transformation of customer demand, the customer demand mapping and product quality characteristics of concept similarity calculation method to determine the two. Considering the correlation between the product quality characteristics of the relationship, put forward an improved calculation method of product quality characteristics. The design of customer demand value mapping procedures and the validity was proved by the example of the demand transformation method.
In order to realize the efficient allocation of solution, the need to establish a clear hierarchical structure, knowledge expression of the complete product configuration model. The object-oriented method to establish the reusable product configuration unit (PFCU) model, the paper adopts the frame structure of PFCU on the expression of knowledge, configuration features of PFCU, the relationship of study of the establishment of a product family configuration model based on PFCU, through the examples put forward the modeling steps.
Product configuration solution is a typical knowledge inference process. The product configuration for product family configuration model of case based reasoning and reasoning method based on integrated strategy to achieve customer demand driven based on the established framework of product configuration for composite. To solve the problem of matching case similarity method based on examples, puts forward the concept of customer demand gain calculation, comprehensive customer satisfaction segmented satisfaction index function is established. Aiming at the problem of multi product family environment, customer demand target product family positioning, put forward the concept of product family is PFDF and the decision value calculation method to achieve the objective to determine the attribute set priority PFDF information gain is established. The expression method of configuration table PFCU example based on the characteristics of the established process and algorithm reasoning based on product family configuration model.
According to the configuration of product configuration solution in less constrained situations, put forward the concept of configuration under constraint, constructs the product configuration under constrained optimization model, in this model, the comprehensive performance of the products, cost and delivery as the main driving goal, to achieve the overall evaluation of the product. Based on this model, puts forward the improvement the non dominated sorting genetic algorithm is used to take the non dominated sorting and multidimensional improved niche population calculation technology combined with the mode selection and selection judgment method in the algorithm. The simulation results verify the feasibility and effectiveness of the algorithm, the algorithm with other multi-objective optimization, explains the superiority of the efficiency of the algorithm.
To provide support for the computer aided product configuration design activities, PDM system design and development of an integrated product configuration function. The design of the software architecture of the system, analyzed the composition of the main functional modules of the system, and combined with the application of the operation of the system implementation process.

【學(xué)位授予單位】：合肥工業(yè)大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2013
【分類號(hào)】：TH18;TP18

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