高等学校教育装备管理决策支持研究
发布时间:2018-04-14 08:49
本文选题:教育装备 + 效能评价 ; 参考:《哈尔滨工程大学》2012年博士论文
【摘要】:高等学校教育装备在学校的教学、科研中发挥着重要作用,而且教育装备的配备水平在一定程度上代表了学校的水平和层次,因此,教育装备的重要性日趋突显,教育装备的投入也随之逐年增加。在此形势之下,高等学校对教育装备的科学化、规范化管理越来越重视,教育装备作为一个新兴的课题也得到越来越多研究者的关注。 本文采用大系统与小专题相结合、理论与实例相结合、定性与定量相结合的方法,针对教育装备使用过程管理开展了系统的研究。 给出了教育装备效能的概念,通过深入研究教育装备效能评价方法,将ADC方法引入到教育装备效能评价中,对影响教育装备能力的因素构建层次结构图,利用加速遗传算法改进的层次分析法得到能力矩阵,最终对教育装备的效能进行量化。 从教育装备的寿命周期费用入手,分析了寿命周期费用的构成,给出了预测经济寿命的流程。采用改进的灰色预测模型解决了,仅知从投入使用年开始的少量费用数据的教育装备经济寿命预测问题;采用一元线性回归预测模型解决了历史数据缺失,而仅知最近几年的费用数据的教育装备经济寿命预测问题。 通过分析影响教育装备更新决策的因素,构建了递阶的层次结构图,采用模糊综合评判方法给出更新决策。采用组合赋权法和基于贴近度的最大隶属度原则改进模糊综合评判,使教育装备更新决策更准确。 根据目前各高校对教育装备的管理模式,以及教育装备自身的特点,预防性维修能够大大降低教育装备的故障率、提高可靠性。预防性维修周期的确定需要同时考虑稳态有效度、维修费用、可靠度等因素,本文通过采用多目标最优化方法确定预防性维修周期。 本文对教育装备的效能、经济寿命、更新及维修进行了深入研究。提出了教育装备效能定量评价方法;根据已知的不同数据内容构建了教育装备经济寿命预测模型;构建了教育装备更新方式的决策模型;构建了教育装备预防性维修的最优时间模型;并通过实例验证了上述方法的可行性和有效性。本文所构建的模型和提出的方法将对高等学校的教育装备管理及决策有重要的指导作用。
[Abstract]:The educational equipment of colleges and universities plays an important role in teaching and scientific research, and the level of educational equipment represents the level and level of the school to a certain extent. Therefore, the importance of educational equipment is becoming more and more prominent.The investment of educational equipment also increases year by year.Under this situation, colleges and universities pay more and more attention to the scientific and standardized management of educational equipment, and more and more researchers pay attention to educational equipment as a new topic.In this paper, a systematic research on the management of educational equipment using process is carried out by means of the combination of large system and small topic, theory and example, and qualitative and quantitative analysis.In this paper, the concept of educational equipment effectiveness is given, and the ADC method is introduced into the evaluation of educational equipment effectiveness by deeply studying the evaluation method of educational equipment effectiveness, and the hierarchical structure diagram is constructed for the factors that affect the educational equipment capability.The ability matrix is obtained by using the improved analytic hierarchy process (AHP) of accelerated genetic algorithm (AGA), and the effectiveness of educational equipment is quantified.Starting with the life cycle cost of educational equipment, the composition of life cycle cost is analyzed, and the process of predicting economic life is given.The problem of economic life prediction of educational equipment with only a small amount of cost data starting from the year in use is solved by using an improved grey forecasting model, and the lack of historical data is solved by using a linear regression forecasting model.The economic life expectancy of educational equipment is only known in recent years.By analyzing the factors that affect the decision of educational equipment renewal, the hierarchical structure diagram is constructed, and the renewal decision is given by using fuzzy comprehensive evaluation method.The combination weighting method and the principle of maximum membership degree based on closeness degree are used to improve fuzzy comprehensive evaluation, which makes the decision of educational equipment renewal more accurate.According to the current management mode of educational equipment in colleges and universities and the characteristics of educational equipment itself, preventive maintenance can greatly reduce the failure rate of educational equipment and improve its reliability.The determination of preventive maintenance cycle needs to take into account such factors as steady-state effectiveness, maintenance cost, reliability and so on. In this paper, the preventive maintenance period is determined by using multi-objective optimization method.In this paper, the efficiency, economic life, renewal and maintenance of educational equipment are studied.The quantitative evaluation method of educational equipment effectiveness is put forward, the economic life prediction model of educational equipment is constructed according to the known different data content, the decision model of educational equipment renewal mode is constructed.The optimal time model for preventive maintenance of educational equipment is constructed, and the feasibility and effectiveness of the above method are verified by an example.The models and methods proposed in this paper will play an important guiding role in the management and decision-making of educational equipment in colleges and universities.
【学位授予单位】:哈尔滨工程大学
【学位级别】:博士
【学位授予年份】:2012
【分类号】:G647
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