制订科学的预防维修大纲加速维修管理科学化

本文探讨了欧洲国家维修团体联盟(EFNMS)第十次学术会议的主题——“维修——为了未来的投资”的意义和内涵.在此基础上,重点介绍了为获取此种投资效益所必需制订的预防维修大纲的方法及其理论依据.     

舰用锅炉过热器使用寿命的论证

鉴于某型舰用锅炉过热器破损的主因在于其内部腐蚀,而破损的主要方式是由管头的溃烂开始直至整个管头烂掉为止,导致管子的胀接松动而漏泄。因此,过热器的使用年限全取决于管头的腐蚀速度。通过确定过热器内管头的腐蚀率、锅炉年内运行时间以及保养时间等要素来估算过热器的使用寿命。     

一种提高水雷可靠性的改进性维修新方法

本文介绍一种水雷引信维修的新方法。该方法是改变以前那种原件修复的办法,对可靠性低的部件进行重新设计,从技术上进行改造,提出新的可靠性指标,设计新的部件,进行改进性维修,提高水雷的可靠性,延长其使用寿命。这种设想原则上也可适用于其它武器装备。     

关于军用计算机在坦克部队维修保障问题的探讨

从全系统全寿命的观点来认识装备的维修性,呼吁有关单位在研制以计算机为核心的军用装备时,要同时考虑装备交付部队使用后的维修保障问题,防止出现装备买得起,用不了或用不起的局面。文章从维修保障的重要性、产品维修性设计和维修保障设计等几个方面提出一些看法,并提出一些参考作法。     

非周期不完全检测下的维修优化

针对gamma退化型单部件系统,基于更新和半更新过程理论建立了以期望费用率最小为目标的非周期不完全检测下的维修优化模型。利用检测规划函数使系统的检测间隔期可以依据系统的状态进行调整。为更加贴近实际,模型考虑了测量误差对维修优化的影响。通过计算可以得到最优预防性维修阈值和检测方案。给出了模型的应用算例,通过对退化速率和费用参数的灵敏度分析说明了模型的有效性。与不考虑检测误差的优化结果进行对比,证明了考虑检测误差的重要性。     

装备维修器材竞争性采购方式的模糊决策

针对传统装备维修器材采购方式选择主观性强、不规范等问题,通过选取“保密性、安全性、市场性、时间性和经济性”5条指标,借用层次分析法和模糊综合决策,建立了采购方式选择的量化模型,利用可调整的评语集,优化了模型决策过程,实现了采购方式选择的快速决策．     

一种面向虚拟维修训练的拆装序列描述方法

通过分析机电产品的维修特点、虚拟维修训练的需求以及产品维护规程的结构特点,提出了一种采用树型和有向图混合结构来统一描述产品维护规程和拆卸安装序列的方法,并以Visual C++/MFC为工具,开发了维护规程控件,解决了虚拟维修训练中产品维护规程和拆卸安装序列的同步直观显示、约束关系解算、规程文件存取等问题,并为维护规程的可视化编辑提供了工具。实践表明,该方法满足虚拟维修训练对维护规程和拆装序列的描述要求。     

基于三角模糊熵的装备维修合同商评价与选择

装备维修合同商保障能力评价是军民融合装备维修招投标过程中合理选择最优合同商的基础.通过对招投标过程及以往资料的研究,在考虑部队装备维修保障特殊性的基础上,从合同商资质、技术能力、管理水平和价格成本4个方面构建装备维修合同商评价指标体系,并运用基于三角模糊熵的综合评价法进行评价.综合运用三角模糊法和熵值法,针对评价指标的模糊性和不确定性,采用三角模糊数对定性指标量化处理,又用熵权反映出指标竞争的相对激烈程度,计算出评价对象与理想点的贴近度和距离,据此对评价对象进行优劣排序,最后通过实例进行了验证.     

Integrated production scheduling and preventive maintenance planning for a single machine under a cumulative damage failure process

This paper finds the optimal integrated production schedule and preventive maintenance plan for a single machine exposed under a cumulative damage process, and investigates how the optimal preventive maintenance plan interacts with the optimal production schedule. The goal is to minimize the total tardiness. The optimal policy possesses the following properties: Under arbitrary maintenance plan when jobs have common processing time, and different due dates, the optimal production schedule is to order the jobs by earliest due date first rule; and when jobs have common due date and different processing times, the optimal production schedule is shortest processing time first. The optimal maintenance plan is of control limit type under any arbitrary production schedule when machine is exposed under a cumulative damage failure process. Numerical studies on the optimal maintenance control limit of the maintenance plan indicate that as the number of jobs to be scheduled increases, the effect of jobs due dates on the optimal maintenance control limit diminishes. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

Machine maintenance with workload considerations

Machine maintenance is modeled in the setting of a single‐server queue. Machine deterioration corresponds to slower service rates and failure. This leads to higher congestion and an increase in customer holding costs. The decision‐maker decides when to perform maintenance, which may be done pre‐emptively; before catastrophic failures. Similar to classic maintenance control models, the information available to the decision‐maker includes the state of the server. Unlike classic models, the information also includes the number of customers in queue. Considered are both a repair model and a replacement model. In the repair model, with random replacement times, fixed costs are assumed to be constant in the server state. In the replacement model, both constant and variable fixed costs are considered. It is shown in general that the optimal maintenance policies have switching curve structure that is monotone in the server state. However, the switching curve policies for the repair model are not always monotone in the number of customers in the queue. Numerical examples and two heuristics are also presented. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007