通机产品售后质量损失预测方法及支持系统研究与应用

发布时间：2018-02-13 06:13

本文关键词： 通机产品质量损失预测方法支持系统　出处：《重庆大学》2011年硕士论文　论文类型：学位论文

【摘要】：通机产品具有结构复杂、种类繁多、客户量大面广等特点,且产品在使用过程中一旦出现质量问题将对通机制造企业造成较为严重的有形和无形质量损失。广大通机制造企业由于缺乏售后质量损失预测方法,不能对售后质量损失进行评估及预警,经常导致企业的售后质量损失不能得到有效控制。因此,广大通机制造企业迫切需要一套售后质量损失预测方法及其支持系统对售后质量损失进行快速的评估及预警,从而实现质量损失有效控制。本文结合通机制造企业进行售后质量损失控制的困难和需求,对通机产品售后质量损失预测方法及其支持系统进行了探讨和研究。首先,在分析了通机产品售后质量损失控制特点、现状和需求的基础上,通过分析影响通机产品售后质量损失的影响因素,建立了通机产品售后质量损失的评价指标体系,并采用层次分析法确定评价指标权重;在确定了评价指标体系和权重的基础上,提出了基于模糊综合评判和BP(Back Propagation)神经网络的售后质量损失评估和预警方法。在以上通机产品售后质量损失评估及预警关键技术研究的基础上,针对广大通机制造企业快速地进行售后质量损失评估和预警的需求,研究了一种可支持质量损失快速评估及预警控制分析的通机产品售后质量损失预测支持系统,构建了系统的体系结构、功能结构和运行模式。最后,基于以上研究成果,设计和开发了一套通机产品售后质量损失预测支持系统,并在重庆一通机制造企业进行了实施和应用,取得了良好应用效果。
[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.
【学位授予单位】：重庆大学
【学位级别】：硕士
【学位授予年份】：2011
【分类号】：TH186

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