多設(shè)備混聯(lián)系統(tǒng)機(jī)會(huì)維護(hù)策略研究
[Abstract]:In order to obtain high economic benefit, manufacturing enterprises must effectively control the maintenance cost of production system. The structure of the system is becoming more and more complex, the relationship between the components is becoming more and more close, and the fault rules tend to be diversified. How to establish a feasible maintenance strategy to reduce the cost of maintenance and loss of shutdown has become a key issue that must be considered in the operation and management of enterprises. In this paper, an opportunistic maintenance strategy based on reliability and loss expectation is established for the production system with multi-equipment hybrid structure, according to the different operation objectives to be controlled by the system. Considering the economic and structural correlation of maintenance, a maintenance model with minimum maintenance cost rate is established in finite time domain. Firstly, the research background and significance of this paper are expounded, and the current research situation at home and abroad is summarized. On this basis, the theory of maintenance management, the concepts of reliability and opportunity maintenance are introduced in detail, and the basic mathematical knowledge of modeling is also introduced. Secondly, the service age improvement factor and the failure rate deterioration factor are considered synthetically to describe the evolution rules of the equipment failure rate. A preventive maintenance model based on reliability and loss expectation is established for a single equipment, and an example is given to obtain the optimal preventive maintenance strategy for a single equipment based on different decision bases. Then, on the basis of single equipment modeling, the research object is extended to multi-equipment hybrid production system. An opportunity maintenance model based on reliability and loss expectation is established by introducing the idea of opportunistic maintenance and considering the economic and structural correlation. The structural influence matrix is introduced to describe the structural correlation between devices, and the genetic algorithm is used to analyze the model. Finally, taking the production line of M enterprise as the empirical research object, the model is verified by analyzing the historical fault data of the equipment, and the key factors influencing the maintenance decision are analyzed to provide support for the application of the model.
【學(xué)位授予單位】:燕山大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2016
【分類號(hào)】:TH17
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