【摘要】：在當(dāng)今全球化的時(shí)代,汽車制造企業(yè)紛紛選擇將非核心過程外包,對(duì)大多數(shù)原材料、零部件采取外購(gòu)的形式,因此成就了企業(yè)數(shù)量龐大的汽車零部件行業(yè),但是汽車零部件汽車的下游是汽車整車制造廠，它的上游是原材料供應(yīng)商（如鋼鐵行業(yè)，石油化工行業(yè)）那么一方面汽車制造商面對(duì)著激烈的市場(chǎng)競(jìng)爭(zhēng)和消費(fèi)者苛刻的需求，肯定會(huì)從自己的供應(yīng)商身上下功夫，降低自己的材料成本，以應(yīng)對(duì)競(jìng)爭(zhēng)。另一方面，這些原材料供應(yīng)商面臨著礦石資源的枯竭，開采成本的提高，，也在不斷的上調(diào)價(jià)格。最后零部件企業(yè)承受了相當(dāng)大了壓力，使得它不得不重申審視供應(yīng)商管理來(lái)降低成本增加利潤(rùn)。 本文第一步首先對(duì)卡斯馬公司現(xiàn)階段供應(yīng)商管理中的實(shí)際的操作方法進(jìn)行了系統(tǒng)的介紹，然后結(jié)合卡斯馬目前所處的工廠成長(zhǎng)發(fā)展初期這么一個(gè)特殊時(shí)期，得出了卡斯馬公司應(yīng)該在在供應(yīng)商開發(fā)的問題上進(jìn)行優(yōu)化和提高。然后，針對(duì)卡斯馬公司在供應(yīng)商管理方面存在的問題，建立了卡斯馬公司供應(yīng)商開發(fā)評(píng)價(jià)指標(biāo)體系。再次，運(yùn)用定性的方法和定量的方法相結(jié)合以及理論和實(shí)踐相結(jié)合的方法，構(gòu)建了基于卡斯馬公司的利用離散型Hopfield神經(jīng)網(wǎng)絡(luò)的供應(yīng)商選擇評(píng)價(jià)模型。將卡斯馬供應(yīng)商等級(jí)評(píng)價(jià)指標(biāo)的矩陣作為Hopfield神經(jīng)網(wǎng)絡(luò)的輸入輸入數(shù)據(jù)，經(jīng)過若干次的人工神經(jīng)網(wǎng)絡(luò)學(xué)習(xí)運(yùn)算和仿真，利用最終的離散型神經(jīng)網(wǎng)絡(luò)的仿真結(jié)果，把供應(yīng)商從優(yōu)到劣進(jìn)行排列，從中選擇出最適合卡斯馬企業(yè)發(fā)展的供應(yīng)商。 本文的研究成果，把卡斯馬公司供應(yīng)商開發(fā)體系進(jìn)行了進(jìn)一步的優(yōu)化，使得它更適應(yīng)現(xiàn)階段公司發(fā)展階段，使得卡斯馬公司能以更科學(xué)的方式，更加公正的方式，更嚴(yán)謹(jǐn)?shù)姆绞絹?lái)提高其供應(yīng)商選擇的效率。
[Abstract]:In the era of globalization, automobile manufacturing enterprises choose to outsource non-core process one after another, and take the form of outsourcing most raw materials and parts, which has made the automobile parts industry with a large number of enterprises. But the downstream of the automobile parts is the whole automobile manufacturing plant, and the upstream is the suppliers of raw materials (such as steel industry, petrochemical industry). On the one hand, the automobile manufacturers are facing fierce market competition and the harsh demands of consumers. Will certainly work on their own suppliers to reduce their material costs to cope with competition. On the other hand, these raw material suppliers are facing the depletion of ore resources, higher mining costs, and rising prices. In the end, the pressure on parts companies was so great that it had to revisit supplier management to reduce costs and increase profits. The first step of this paper is to systematically introduce the actual operation methods in the current supplier management of Casma Company, and then combine with the special period of the initial stage of the plant growth and development in which Casma is currently in. It is concluded that Casma should be optimized and improved in supplier development. Then, aiming at the problems in supplier management of Casma Company, the evaluation index system of supplier development is established. Thirdly, a supplier selection evaluation model using discrete Hopfield neural network is constructed based on the combination of qualitative method and quantitative method, as well as the combination of theory and practice. The matrix of evaluation index of Kasma supplier grade is taken as the input data of Hopfield neural network. After several times of learning operation and simulation of artificial neural network, the simulation results of discrete neural network are used. Arrange the suppliers from the best to the worst, and choose the supplier that is the best fit for the development of Casma enterprise. The research results of this paper further optimize the supplier development system of Casma Company, make it more suitable for the current stage of the company's development, and enable the company to use a more scientific and fair way. More rigorous ways to improve the efficiency of their supplier selection.
【學(xué)位授予單位】：吉林大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：F426.471;F274

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