【作者】 王晓迪；

【导师】 彭秀艳；

【作者基本信息】 哈尔滨工程大学 ， 系统工程， 2012， 博士

【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。更多还原

【Abstract】 Education equipment in univesity takes an important part in teaching and researching works, and its level, in some extent, represents the school’s level and hierarchy. Thus, the importance of education equipment is more and more outstanding, and investment on it is growing up year by year. In such condition, university put much more attention on sicientific and standard education equipment management, and, as a new item, education equipment is also attracting more and more researchers.This paper takes a series of researches on using mannagement by adapting the mathod of combination of big system and small items, theroy and examples, quality and quantity.This paper proposes the conception of education equipment efficiency and does a lot research its evaluation. we adapt the ADC mathod in equiment assessment. In this paper, we construct hierarchical stucture according to factors’ ablity of infuency on education equioment, get the capacity matrix by using accelerating genetic algorithm to improve analsis hierarchy process, and finally quantify the efficency of aducation equiment.We research the ilfe cycle cost of edaucation equiment, analyse its composition, and draw the procedure of forcasting economic life on education equipment. The improved grey prediction model is used to solve education equipment economic life forcasting problem which only know very few cost date from beginning to use; the one variable linear regression forecasting model is served to figure out another forcasting problem which lacks historical data and only has recent use records of education equipment.This paper analyses the influence factors of renewal decision, constructs hierarchical stucture, and adapes fuzzy comprehensive evaluation to solve the unquantified problem. The classical fuzzy comprehensive evaluation has some defects, and we improve it by using combination assigning method and based on closeness maximum membership degree law to make the decision much more accurate.According to the mannagement modle on education equipment in high shool and university and its characteristics, preventive maintenance can largely reduce its failure rate, and raise the reliability. The preventive maintenance cycle is influenced by factors, such as stable state availability, maintain cost, reliability. This paper adapes multi-objective optimization method to get the preventive maintenance cycle. This paper has researched education equipment’s efficency, econmic life, renewal and maintenace problems. The quantitative evaluation method on education equipment efficiency is proposed; the education equipment economic life forcasting model is builded based on different recording data; the decision model of education equipment renewal is constructed; the optimum time model on preventive maintenance is also builded; experiments is taken to testify the feasibility and validity of all above mathods. All these models and methods in this paper have important to direct the management and dicision on education equipment in high schools and universities.更多还原