基于QFD的LED背光模组组装工序改进研究
发布时间：2019-02-19 10:15
【摘要】：R公司属于制造型企业,生产的产品主要是手机、笔记本电脑等电子产品的背光模组。背光模组(B/L)作为面板的关键零件之一,其加工质量决定了面板的质量。在激烈的市场竞争中,该公司正面临着客户抱怨与量产不足的巨大挑战。本文结合R公司背光模组的生产组装过程,基于QFD对其顾客需求进行了分析研究,并将这些需求转换到B/L产品生产和组装的各个环节,找出影响B/L产品质量和量产的关键工艺流程和工序并进行改进,从而提高其产品的用户满意度和增强企业的市场竞争力。本文主要研究成果如下：1)建立了背光模组的QFD瀑布式分解模型。提出了集成基于KANO模型、客户关系管理、技术人员的技术指标提供和产品协同开发链的中间产品用户需求获取方法,基于模糊聚类方法对收集的背光模组用户需求进行了分级和分类处理；提出了基于隐马尔科夫链的顾客需求重要度测量和预测方法；基于需求本体相似度方法获取了LED背光模组的技术需求列表。建立了背光模组的质量规划质量屋、工艺规划质量屋和关键工序质量屋,分析和找出了影响B/L顾客需求的产品质量和量产的关键因素为清洁不良和点灯治具效率过低。2)通过R企业背光模组装配流程的分析,基于QFD辨识的点灯治具效率过低关键质量影响因素,提出了低成本高效率治具的改进方案,将原有的每条产线一个点灯治具工位改进成最多可以有4个点灯工位,不仅使点灯效率提高,而且使成本得到有效控制,提高了安全等级。3)在分析R企业清洁工序的基础上,提出了自动化的清洁工序方案设计,取代原有的手工取放膜片和撕膜工序由自动机械完成。分析了自动化清洁工序的技术要求,并绘制了清洁自动化工序机构的工作循环图。并对清洁自动化工序中的关键技术如吸取装置、运送装置和撕膜装置进行了运动路线分析和改进设计,该设计方案可解放人工,实现自动化,提高清洁效率和清洁质量。
[Abstract]:R company is a manufacturing enterprise, the main products are mobile phones, notebook computers and other electronic products backlight module. As one of the key parts of the panel, the backlight module (B / L) determines the quality of the panel. In the fierce market competition, the company is facing customer complaints and insufficient production. This paper analyzes and studies the customer demand of R Company backlight module based on QFD combined with the assembly process of backlight module, and converts these requirements to every link of B / L product production and assembly. The key processes and processes affecting the quality and mass production of B / L products are found out and improved, so as to improve the customer satisfaction of the products and enhance the market competitiveness of the enterprises. The main research results are as follows: 1) the QFD waterfall decomposition model of backlight module is established. Based on KANO model, customer relationship management (CRM), technical specifications of technicians and product collaborative development chain, a method for obtaining intermediate product user requirements is proposed. Based on the fuzzy clustering method, the user needs of the collected backlight modules are classified and classified. A method of customer requirement importance measurement and prediction based on Hidden Markov chain is proposed, and the technical requirement list of LED backlight module is obtained based on requirement ontology similarity method. The quality planning quality room, process planning quality room and key process quality room of backlight module are established. The key factors affecting the product quality and mass production of B / L customer demand are poor cleaning and low efficiency of lighting tools. 2) through the analysis of the assembly process of backlight module in R enterprise, the paper analyzes and finds out the key factors that affect the product quality and mass production of B / L customers. Based on the key quality factors of low efficiency of lighting fixture identified by QFD, the improvement scheme of low cost and high efficiency is put forward. One spot for each original production line can be improved to up to 4 lighting stations. Not only the efficiency of lighting is improved, but also the cost is controlled effectively, and the safety grade is improved. 3) on the basis of analyzing the cleaning process in R enterprise, an automatic cleaning procedure scheme is put forward. Replace the original manual film removal and film tearing process by automatic mechanical completion. The technical requirements of the automatic cleaning process are analyzed, and the working cycle diagram of the cleaning automation process mechanism is drawn. The key technologies in the cleaning automation process, such as suction device, transport device and film tearing device, are analyzed and improved. The design scheme can liberate manual work, realize automation, improve cleaning efficiency and clean quality.
【学位授予单位】：天津科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN312.8
[Abstract]:R company is a manufacturing enterprise, the main products are mobile phones, notebook computers and other electronic products backlight module. As one of the key parts of the panel, the backlight module (B / L) determines the quality of the panel. In the fierce market competition, the company is facing customer complaints and insufficient production. This paper analyzes and studies the customer demand of R Company backlight module based on QFD combined with the assembly process of backlight module, and converts these requirements to every link of B / L product production and assembly. The key processes and processes affecting the quality and mass production of B / L products are found out and improved, so as to improve the customer satisfaction of the products and enhance the market competitiveness of the enterprises. The main research results are as follows: 1) the QFD waterfall decomposition model of backlight module is established. Based on KANO model, customer relationship management (CRM), technical specifications of technicians and product collaborative development chain, a method for obtaining intermediate product user requirements is proposed. Based on the fuzzy clustering method, the user needs of the collected backlight modules are classified and classified. A method of customer requirement importance measurement and prediction based on Hidden Markov chain is proposed, and the technical requirement list of LED backlight module is obtained based on requirement ontology similarity method. The quality planning quality room, process planning quality room and key process quality room of backlight module are established. The key factors affecting the product quality and mass production of B / L customer demand are poor cleaning and low efficiency of lighting tools. 2) through the analysis of the assembly process of backlight module in R enterprise, the paper analyzes and finds out the key factors that affect the product quality and mass production of B / L customers. Based on the key quality factors of low efficiency of lighting fixture identified by QFD, the improvement scheme of low cost and high efficiency is put forward. One spot for each original production line can be improved to up to 4 lighting stations. Not only the efficiency of lighting is improved, but also the cost is controlled effectively, and the safety grade is improved. 3) on the basis of analyzing the cleaning process in R enterprise, an automatic cleaning procedure scheme is put forward. Replace the original manual film removal and film tearing process by automatic mechanical completion. The technical requirements of the automatic cleaning process are analyzed, and the working cycle diagram of the cleaning automation process mechanism is drawn. The key technologies in the cleaning automation process, such as suction device, transport device and film tearing device, are analyzed and improved. The design scheme can liberate manual work, realize automation, improve cleaning efficiency and clean quality.
【学位授予单位】：天津科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN312.8
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