面向机械制造业的履带产品质量追溯系统研究与设计

发布时间：2018-03-26 05:14

本文选题：履带产品　切入点：质量　出处：《天津大学》2012年硕士论文

【摘要】：追溯体系不适用于机械制造业,由于追溯的标识也不同,在机械制造业没有一套完整的质量追溯系统,能够监控产品从生产到下线的质量全过程,发现问题及时追溯到发生问题的原材料或零件,向供应商提出意见或改进工作流程,提高企业的生产效率。在机械制造行业没有一个系统能解决ERP系统与车间控制层之间存在一定的信息断层,因此为了实现产品质量的快速追溯,迫切需要采用质量追溯系统,对产品的整个制造过程进行追踪,记录产品从生产线上线到下线的全过程,填补ERP管理的空白,一旦发现有问题的成品,立刻能追溯到有问题原材料,立刻修正并制定相应的解决方案,提高产品的质量。本文讨论了在机械制造企业中,产品质量的可追溯性对企业是至关重要的和如何利用信息技术对产品质量的可追溯性进行管理。并分析了国内外质量信息管理系统的研究现状,提出了需要解决的问题,给出了详细的设计和具体实现。构建出履带产品质量追溯系统的总体框架,分析了履带产品质量安全追溯系统的需求,探讨了履带产品的追溯方法,提出了系统功能结构并对系统进行了总体规划和设计。 (1)首次初步开发了面向机械制造业的履带质量追溯系统,弥补了之前在工程机械制造行业没有一套针对履带产品质量追溯系统的空白,系统规模虽然不大,但是比较实用,可以迅速地对问题产品进行定位和查询,提高履高产品的质量和工作效率。 (2)对履带产品车间的情况做了仔细调研,分析了主要工序为机加工和热处理等,仔细分析了对于关键工序的检测方法,在系统中记录关键数据,使关键数据成为索引整个系统的关键。 (3)引入了偏差报告系统,随着电子办公及批复系统的快速发展,提高了我们的办公效率。本系统引入了偏差报告系统,可以给相关的人员发电子邮件通知,然后把相关检测报告附加在系统中,相关工程师和管理人员可以轻松的通过系统进行电子批复。 (4)使用数据库为开发平台,设计了履带产品质量管理信息追溯系统。数据库为本文的主要依据,所以数据的准确性也是至关重要的,很多关键数据都是由系统导入的,减少了人工输入的误差。
[Abstract]:The traceability system is not suitable for the mechanical manufacturing industry. Because the traceability marks are also different, there is no complete quality traceability system in the mechanical manufacturing industry, which can monitor the whole quality process of the product from production to downline. Identify problems to the raw materials or parts where the problem occurred, advise suppliers or improve workflow, In order to improve the production efficiency of enterprises, there is no system in the machinery manufacturing industry that can solve the information gap between the ERP system and the workshop control layer. Therefore, in order to realize the rapid traceability of product quality, it is urgent to adopt the quality traceability system. Track the whole manufacturing process of the product, record the whole process from the production line up to the offline line, fill the gap in ERP management, and trace back to the defective raw material as soon as the defective finished product is found. Revise and develop solutions immediately to improve product quality. In this paper, it is discussed that in mechanical manufacturing enterprises, The traceability of product quality is very important to the enterprise and how to use information technology to manage the traceability of product quality. This paper analyzes the present research situation of quality information management system at home and abroad, and puts forward some problems that need to be solved. Detailed design and implementation are given. The overall framework of track product quality traceability system is constructed, the requirement of track product quality and safety traceability system is analyzed, and the traceability method of crawler product is discussed. The function structure of the system is put forward and the overall planning and design of the system are carried out. For the first time, the track quality traceability system for machinery manufacturing industry has been developed for the first time, which has made up for the lack of a track quality traceability system in the construction machinery manufacturing industry. Although the scale of the system is not large, it is more practical. Can quickly locate and query the problem products, improve the quality and efficiency of high-quality products. 2) carefully investigating the situation of the crawler product workshop, analyzing that the main processes are machining and heat treatment, and carefully analyzing the inspection methods for the key processes, recording the key data in the system, Make critical data the key to indexing the entire system. With the rapid development of the electronic office and approval system, the efficiency of our office has been improved. The system has introduced the deviation report system, which can send email notification to the relevant personnel. Then attach the relevant test report to the system, and the engineers and managers can easily conduct electronic approval through the system. Using database as the development platform, the track product quality management information traceability system is designed. The database is the main basis of this paper, so the accuracy of the data is also very important, many key data are imported by the system. The error of manual input is reduced.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TH186

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