本文關(guān)鍵詞： 通機產(chǎn)品 質(zhì)量損失 預測方法 支持系統(tǒng)　出處：《重慶大學》2011年碩士論文　論文類型：學位論文

【摘要】：通機產(chǎn)品具有結(jié)構(gòu)復雜、種類繁多、客戶量大面廣等特點,且產(chǎn)品在使用過程中一旦出現(xiàn)質(zhì)量問題將對通機制造企業(yè)造成較為嚴重的有形和無形質(zhì)量損失。廣大通機制造企業(yè)由于缺乏售后質(zhì)量損失預測方法,不能對售后質(zhì)量損失進行評估及預警,經(jīng)常導致企業(yè)的售后質(zhì)量損失不能得到有效控制。因此,廣大通機制造企業(yè)迫切需要一套售后質(zhì)量損失預測方法及其支持系統(tǒng)對售后質(zhì)量損失進行快速的評估及預警,從而實現(xiàn)質(zhì)量損失有效控制。本文結(jié)合通機制造企業(yè)進行售后質(zhì)量損失控制的困難和需求,對通機產(chǎn)品售后質(zhì)量損失預測方法及其支持系統(tǒng)進行了探討和研究。 首先,在分析了通機產(chǎn)品售后質(zhì)量損失控制特點、現(xiàn)狀和需求的基礎(chǔ)上,通過分析影響通機產(chǎn)品售后質(zhì)量損失的影響因素,建立了通機產(chǎn)品售后質(zhì)量損失的評價指標體系,并采用層次分析法確定評價指標權(quán)重;在確定了評價指標體系和權(quán)重的基礎(chǔ)上,提出了基于模糊綜合評判和BP(Back Propagation)神經(jīng)網(wǎng)絡(luò)的售后質(zhì)量損失評估和預警方法。 在以上通機產(chǎn)品售后質(zhì)量損失評估及預警關(guān)鍵技術(shù)研究的基礎(chǔ)上,針對廣大通機制造企業(yè)快速地進行售后質(zhì)量損失評估和預警的需求,研究了一種可支持質(zhì)量損失快速評估及預警控制分析的通機產(chǎn)品售后質(zhì)量損失預測支持系統(tǒng),構(gòu)建了系統(tǒng)的體系結(jié)構(gòu)、功能結(jié)構(gòu)和運行模式。 最后,基于以上研究成果,設(shè)計和開發(fā)了一套通機產(chǎn)品售后質(zhì)量損失預測支持系統(tǒng),并在重慶一通機制造企業(yè)進行了實施和應用,取得了良好應用效果。
[Abstract]:Tongji products have the characteristics of complex structure, various types, large number of customers, and so on. Once the quality problem occurs in the process of using the product, it will cause serious loss of tangible and intangible quality to the manufacturing enterprises of the general machinery industry. Due to the lack of prediction methods for the after-sale quality loss of the general machinery manufacturing enterprises, The loss of after-sales quality can not be evaluated and forewarned, which often leads to the loss of after-sale quality of the enterprise can not be effectively controlled. There is an urgent need for a set of after-sale quality loss prediction methods and their supporting systems for rapid evaluation and early warning of after-sale quality loss in the general machinery manufacturing enterprises. In order to realize the effective control of the quality loss, this paper discusses and studies the prediction method and the supporting system of the after-sale quality loss of the machine products in combination with the difficulties and requirements of the after-sale quality loss control in the general machinery manufacturing enterprises. First of all, on the basis of analyzing the characteristics, present situation and demand of the quality loss control after sale of the product, the paper establishes the evaluation index system of the quality loss after the sale of the product through analyzing the influencing factors of the quality loss after the sale of the product. On the basis of determining the evaluation index system and weight, the evaluation index weight is determined by analytic hierarchy process (AHP), and the method of after-sale quality loss assessment and early warning based on fuzzy comprehensive evaluation and BP(Back propagation neural network is put forward. On the basis of the research on the key technology of after-sale quality loss assessment and early warning of the above machinery products, aiming at the demand of rapid after-sale quality loss assessment and early warning for the vast number of machinery manufacturing enterprises, An after-sale quality loss prediction and support system for mechanical products is studied, which can support rapid assessment of quality loss and early warning control analysis. The architecture, function structure and operation mode of the system are constructed. Finally, based on the above research results, a set of after-sale quality loss prediction and support system of the machine is designed and developed, and it has been implemented and applied in Chongqing one-pass machine manufacturing enterprise, and good application results have been obtained.
【學位授予單位】：重慶大學
【學位級別】：碩士
【學位授予年份】：2011
【分類號】：TH186

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