车轮厂流水线设备维修管理改进研究

发布时间：2018-07-26 17:06

【摘要】：随着工业化进程的不断加快，越来越多的企业开始意识到设备维修管理是企业利润来源之一，设备维修管理在企业中如何实施称为各个企业越来越关注的焦点。政府，学校，医院，企业以及各个部门都开始关注设备的维修管理。可见，设备维护管理的重要性。设备维修管理则是涉及设备在使用过程中的润滑、保养、点检、以及改造，甚至设备的报废处理的环节，为保证设备正常运转所涉及的一切维修行为统称为设备的维修管理。设备维修管理目的在于保证企业的正常运作，减少停机时间，提高生产效率，降低维修成本，提高产品质量，提高企业的市场竞争力，为企业利润最大化的目标做出最大的贡献，同时对于企业而言，设备维修管理为抢占市场提供了强大的竞争力。设备维修管理体系的发展经历了“事后维修、预防维修、生产维修、全员设备维修、预测维修”五个阶段。随着现代化设备向着复杂化、自动化、大型化、精密化的发展，设备维修管理面临着巨大的挑战，设备维修管理水平与技术的提升越来越受到各大企业关注，拥有先进设备维修管理体系与技术，对企业来说已经十分必要。车轮厂目前所面临的设备维修管理现状，根据这些情况我们选择车轮厂中最重要的旋压轮辋生产线为研究目标，利用ABC方法对其进行分类，分为A类设备，B类设备以及C类设备，在此基础上我们选择了B类设备进行可靠性分析得到B类设备的点检、保养、润滑以及预防维修的周期，，同时对B类设备组成的串联系统进行了可靠性分析，进而对车轮厂设备维修管理的组织以及流程进行分析和优化，减少设备维修时间，提高组织效率。最后根据可靠性分析选出B类设备中可靠性最低的设备进行设备状态预测维修，建立隐马尔科夫模型（HMM）,针对目前设备的故障发生后的设备故障类别进行识别，以减少车轮厂对设备故障识别上时间的浪费，使得车轮厂设备维修管理能力得到提升。改进以后的设备维修管理方案部分已经在使用，设备的完好率、利用率等指标都有所提高，设备数据更加准确，为企业生产提供了一定的保障。
[Abstract]:With the accelerating process of industrialization, more and more enterprises begin to realize that equipment maintenance management is one of the profit sources of enterprises. How to implement equipment maintenance management in enterprises is becoming the focus of more and more attention. The government, schools, hospitals, businesses and departments are concerned about the maintenance of equipment. Visible, the importance of equipment maintenance and management. Equipment maintenance management refers to the lubrication, maintenance, spot inspection, modification and even the disposal of scrapping of equipment in the process of use. In order to ensure the normal operation of the equipment, all the maintenance behaviors involved are referred to as the maintenance management of the equipment. The purpose of equipment maintenance management is to ensure the normal operation of enterprises, reduce downtime, improve production efficiency, reduce maintenance costs, improve product quality, and improve the market competitiveness of enterprises. At the same time, equipment maintenance management provides a strong competitive power for the enterprise to seize the market. The development of equipment maintenance management system has experienced five stages: ex post maintenance, preventive maintenance, production maintenance, full equipment maintenance and forecast maintenance. With the development of modern equipment towards complexity, automation, large-scale and precision, equipment maintenance management is facing great challenges, and the improvement of equipment maintenance management level and technology has attracted more and more attention of enterprises. With advanced equipment maintenance management system and technology, for the enterprise has been very necessary. According to the current situation of maintenance and management of the equipment in the wheel factory, we select the most important spinning rim production line in the wheel factory as the research goal, and use ABC method to classify it. On the basis of this, we choose B equipment to carry on the reliability analysis to get the B equipment spot inspection, maintenance, lubrication and preventive repair cycle. At the same time, the reliability of the series system composed of B equipment is analyzed, and the organization and process of maintenance management in wheel factory are analyzed and optimized to reduce the maintenance time and improve the organization efficiency. Finally, according to the reliability analysis, the equipment with the lowest reliability in class B equipment is selected for equipment condition prediction and maintenance, and the Hidden Markov Model (HMM),) is established to identify the fault types of the equipment after the failure of the current equipment. In order to reduce the waste of time on equipment fault identification in wheel factory, the maintenance and management ability of wheel plant equipment is improved. The improved equipment maintenance management scheme is already in use, the equipment integrity rate, utilization rate and other indicators are improved, the equipment data is more accurate, which provides a certain guarantee for the enterprise production.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TH186

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