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產(chǎn)品族架構(gòu)與供應(yīng)鏈關(guān)聯(lián)影響與優(yōu)化研究

發(fā)布時(shí)間:2019-06-20 23:10
【摘要】:在大規(guī)模定制生產(chǎn)方式不斷發(fā)展的今天,制造業(yè)企業(yè)為了實(shí)現(xiàn)大規(guī)模定制所需要的敏捷性和靈活性,需要調(diào)整和提高產(chǎn)品的設(shè)計(jì)和開(kāi)發(fā)過(guò)程來(lái)更好地適應(yīng)客戶快速變化的需求。為了將產(chǎn)品從概念階段交付到最終顧客的手上,企業(yè)需要做出關(guān)于產(chǎn)品開(kāi)發(fā)、生產(chǎn)/制造和供應(yīng)鏈管理一系列決策。 大批量定制生產(chǎn)模式是主要以產(chǎn)品族的形式體現(xiàn)。產(chǎn)品族是由一些功能相似、結(jié)構(gòu)相似或工藝相似的產(chǎn)品組成,充分利用產(chǎn)品族中產(chǎn)品和過(guò)程的模塊化和標(biāo)準(zhǔn)化,可以增加預(yù)測(cè)準(zhǔn)確性,縮短產(chǎn)品交貨期,降低庫(kù)存成本和運(yùn)輸成本等,對(duì)供應(yīng)鏈管理具有重要影響。同時(shí),通過(guò)產(chǎn)品的標(biāo)準(zhǔn)化和模塊化,使產(chǎn)品的生產(chǎn)工藝和整個(gè)產(chǎn)品研發(fā)過(guò)程精簡(jiǎn)化,,快速投入市場(chǎng),迎合消費(fèi)者和市場(chǎng)的需求,提高企業(yè)的應(yīng)變和綜合競(jìng)爭(zhēng)力的提升,也是產(chǎn)品族架構(gòu)的重要目標(biāo)。因此,結(jié)合供應(yīng)鏈管理研究制造業(yè)企業(yè)產(chǎn)品族架構(gòu)方法具有重要意義。 本文為了建立產(chǎn)品族架構(gòu)與供應(yīng)鏈協(xié)同設(shè)計(jì)的量化模型,首先從定性的角度分析二者之間關(guān)聯(lián)關(guān)系。建立了基于決策和結(jié)構(gòu)的兩個(gè)角度關(guān)聯(lián)分析二維模型,分析了產(chǎn)品族架構(gòu)決策與供應(yīng)鏈管理之間的協(xié)同關(guān)系,并將協(xié)同決策映射到結(jié)構(gòu)設(shè)計(jì)中,形成產(chǎn)品族架構(gòu)與供應(yīng)鏈關(guān)聯(lián)設(shè)計(jì)方法。 通過(guò)關(guān)聯(lián)關(guān)系概念模型的建立,進(jìn)一步將其轉(zhuǎn)化為量化的數(shù)學(xué)優(yōu)化模型。通過(guò)多目標(biāo)優(yōu)化的方法,決策出最大化滿足不同市場(chǎng)顧客需求的同時(shí)最小化供應(yīng)鏈成本的產(chǎn)品族架構(gòu),以及與之相匹配的供應(yīng)鏈結(jié)構(gòu)。本文引入了遺傳算法來(lái)解決多目標(biāo)問(wèn)題。最后結(jié)合案例闡述了產(chǎn)品族架構(gòu)與供應(yīng)鏈關(guān)聯(lián)設(shè)計(jì)分析與優(yōu)化在實(shí)際當(dāng)中的應(yīng)用。
[Abstract]:With the continuous development of mass customization production mode, in order to realize the agility and flexibility of mass customization, manufacturing enterprises need to adjust and improve the product design and development process to better adapt to the rapidly changing needs of customers. In order to deliver the product from the conceptual stage to the end customer, the enterprise needs to make a series of decisions about product development, production / manufacturing and supply chain management. Mass customization production mode is mainly reflected in the form of product family. The product family is composed of some products with similar functions, similar structures or similar processes. Making full use of the modularization and standardization of products and processes in the product family can increase the accuracy of prediction, shorten the delivery time of products, reduce inventory cost and transportation cost, and has an important impact on supply chain management. At the same time, through the standardization and modularization of the product, it is also an important goal of the product family structure to simplify the production process of the product and the whole product research and development process, to quickly put into the market, to meet the needs of consumers and the market, and to improve the adaptability and comprehensive competitiveness of the enterprise. Therefore, it is of great significance to study the product family architecture method of manufacturing enterprises in combination with supply chain management. In order to establish a quantitative model of product family architecture and supply chain collaborative design, this paper first analyzes the relationship between product family architecture and supply chain collaborative design from a qualitative point of view. A two-dimensional model of product family architecture decision and supply chain management is established, and the collaborative relationship between product family architecture decision and supply chain management is analyzed, and the collaborative decision is mapped to structural design to form a product family architecture and supply chain association design method. Through the establishment of the conceptual model of correlation relationship, it is further transformed into a quantitative mathematical optimization model. Through the method of multi-objective optimization, the product family architecture which maximizes the needs of customers in different markets and minimizes the cost of supply chain, as well as the matching supply chain structure, are determined. In this paper, genetic algorithm is introduced to solve the multi-objective problem. Finally, the application of product family architecture and supply chain correlation design analysis and optimization in practice is expounded with an example.
【學(xué)位授予單位】:天津大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:F274;F273;F224

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