本钢冷轧厂镀锌线设备维护项目研究

发布时间：2018-01-22 21:58

本文关键词： 设备管理六西格玛冷轧厂热镀锌　出处：《吉林大学》2017年硕士论文　论文类型：学位论文

【摘要】：本钢冷轧厂于1994年正式建厂,是国家八五期间利用外资兴建的重点项目之一,镀锌线是本钢冷轧厂重要的成品生产线。当前,面对竞争异常激烈的市场环境,保持产品低成本、质量优是所有生产型企业关注的重点,本钢冷轧厂镀锌线也是一样,提高设备维护管理水平、降低设备故障率、保障设备稳定运行,直接决定产量及产品质量。本文以本钢冷轧厂镀锌生产线设备维护项目为研究对象,将六西格玛管理理论方法应用于设备维护管理中,以达到降低设备故障率,提高生产线产量及成品率的目的。对于提升企业的综合竞争力有着重要意义。六西格玛管理的核心思想就是通过一套以统计学为依据,建立数据分析模型,通过数据分析,达到发现问题,解决问题的目的。是一项以顾客为中心,以数据为基础,以追求完美为目标的质量管理方法。随着企业管理的不断发展和进步,如何运用六西格玛管理方法,结合设备维护管理知识,在企业生产实践中解决具体问题,学界和企业界一直在不断探讨和研究。本文首先对研究背景、意义、国内外研究情况及研究思路做了阐述,系统地介绍了设备管理理论知识、冷轧镀锌生产线理论及六西格玛管理相关理论知识,为进一步分析研究奠定了理论基础。其后,在前期理论研究的基础上,通过对本钢冷轧镀锌设备维护现状分析,将设备故障情况进行分类。最后,针对本钢冷轧镀锌设备维护现状及故障类型,采用六西格玛方法,通过对镀锌线设备运行情况的调查研究,结合生产线具体特点,运用大量六西格玛管理工具,经过对故障数据定义、测量、分析,找出生产线设备故障维护中问题的主要原因,采取相应的行之有效的措施,确定了解决改进的方法,之后,对改进的效果加以固化和评价,最后,将各项规程和取得的成果进行标准化并保持。经过努力,改进项目取得良好的有形收益和无形收益。项目的成功,对生产型企业生产实践中设备维护管理有一定的借鉴、参考意义。
[Abstract]:Benxi Steel Cold Rolling Mill was formally established in 1994. It is one of the key projects to be built with foreign capital during the eighth Five-Year Plan period. Galvanized wire is an important finished product line of Benxi Iron and Steel Cold Rolling Mill. In the face of fierce competition in the market environment, to maintain low cost products, quality is the focus of attention of all production enterprises, Benxi Steel Cold Rolling Plant galvanized line is the same, improve the level of maintenance and management of equipment. Reduce the failure rate of the equipment, ensure the stable operation of the equipment, directly determine the output and product quality. This paper takes the equipment maintenance project of galvanizing production line of Benxi Iron and Steel Cold Rolling Plant as the research object. In order to reduce the failure rate of equipment, six Sigma management theory is applied to equipment maintenance management. The purpose of improving the production line and finished product rate is of great significance to enhance the comprehensive competitiveness of enterprises. The core idea of six Sigma management is to establish a data analysis model based on statistics. Through the data analysis, we can find the problem and solve the problem. It is a quality management method based on customer, data and perfect. With the development and progress of enterprise management. How to use six Sigma management method combined with equipment maintenance management knowledge to solve the specific problems in the enterprise production practice has been constantly discussed and studied by academia and the business community. First of all this paper is about the research background and significance. The research situation and research ideas at home and abroad are described. The theoretical knowledge of equipment management, the theory of cold-rolled galvanizing production line and the theory of six Sigma management are systematically introduced. After that, on the basis of the previous theoretical research, through the analysis of the maintenance status of the cold-rolled galvanizing equipment in Benxi Iron and Steel Co., the failure situation of the equipment is classified. In view of the maintenance status and fault types of galvanizing equipment for cold rolling in Benxi Iron and Steel Company, a large number of six Sigma management tools are used by using six Sigma method, through investigation and research on the operation of galvanizing line equipment and combining with the specific characteristics of the production line. After defining, measuring, analyzing and finding out the main reasons of the problems in the fault maintenance of the production line equipment, the corresponding effective measures are taken to determine the solution to the improvement method. Solidify and evaluate the effect of improvement, and finally, standardize and maintain the protocols and results achieved. Through efforts, improve the project to achieve good tangible and intangible benefits. The success of the project. It can be used for reference and reference to equipment maintenance and management in production practice of production enterprises.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TG173

【相似文献】