装备多寿命指标变量现场数据的可靠性分析

在装备使用保障阶段,对于可由多个寿命指标衡量和控制的装备系统,其可靠性评估及维修保障策略制定都具有重要的工程应用价值.通过对飞机寿命指标不同形式的分析,建立了时间特征与使用特征寿命相关时装备系统多寿命指标变量联合可靠性评估模型,并通过实例对比研究,在评估方法的实用性和有效性等方面均有所改进,为装备多寿命指标变量现场可靠性评估提供了一种方法.     

带无序保护单元的系统可靠性分析

在寿命分布为离散型和连续型的情形下,对带无序保护单元的系统进行可靠性分析,给出了此类系统部分可靠性参数的计算方法和计算结果.同时还给出了一个计算实例,用以说明上述分析结果的具体应用.     

机电产品可靠性寿命试验数据的灰色预测方法

采用灰色系统预测理论对产品可靠性寿命试验数据进行预测,提出了建立产品可靠性寿命试验数据的灰色预测NGM(1,1)模型的方法,并通过采用试验数据序列与预测数据序列总体分布函数相等性检验方法确认灰色预测NGM(1,1)模型用于产品可靠性寿命试验数据预测是可行的.算例结果表明,采用灰色预测方法预测产品可靠性寿命试验数据并进行相关的分布函数参数估计有较高的精度,可达到缩短试验时间和节约试验费用目的.     

非齐次泊松过程下的截断δ-冲击模型

本文研究了一类特殊的冲击模型-截断δ-冲击模型,利用可靠性理论得到了此类冲击模型系统寿命可靠度函数及其上界、矩存在的充分条件、失效率函数及寿命分布类,将截断δ-冲击模型由基础过程为齐次泊松过程情形推广到了非齐次泊松过程情形.     

基于屏蔽数据的部件可靠性指标的贝叶斯估计

基于屏蔽数据,在单元的屏蔽与失效不独立的情形下,研究系统中Burr XII部件可靠性指标的估计问题。在三种不同的损失函数下,推算出部件寿命参数及可靠性指标的贝叶斯估计。最后利用随机模拟对两种估计方法进行比较分析,并讨论屏蔽概率和屏蔽水平对估计结果的影响。     

平方损失下屏蔽数据并联系统的经验贝叶斯分析

在部件寿命服从逆威布尔分布时,研究了屏蔽数据两部件并联系统的可靠性分析问题.基于截尾样本,将经典统计方法和贝叶斯理论相结合,推导出模型参数及系统可靠性指标的经验贝叶斯估计,最后给出数值模拟.     

基于Copula函数的屏蔽数据并-串联系统可靠性分析

讨论了失效相依屏蔽数据系统的可靠性分析问题.通过引入Copula函数描述部件寿命变量之间的相依关系,建立屏蔽数据并-串联系统可靠性模型,推导出并-串联系统的一些概率结果.在此基础上,基于逐步Ⅰ型混合截尾的系统失效数据,获得了模型参数及可靠性指标的极大似然估计和bootstrap区间估计.最后,运用蒙特卡罗模拟验证了方法的可行性和有效性.     

不确定并串联系统的贮备冗余优化

在可靠性工程中,可靠性优化设计是系统设计阶段需要解决的一个重要问题.文章针对不确定并串联系统,研究了具有不确定寿命和不确定费用的贮备冗余优化问题.以最大化系统可靠性,最大化系统寿命和最小化系统费用为目标,构建了3种不同的贮备冗余优化模型.在不确定理论框架下,给出了3种模型的等价模型,且根据决策者的偏好构建了3种带有优先级的模型.此外,给出的数值算例说明了所构建模型的合理性.     

两个同型部件温贮备系统的几何过程模型

利用可靠性理论,研究了两个同型部件和一个修理工组成的可修型温贮备系统.假设两个部件的工作寿命、贮备寿命、故障后的修理时间和贮备故障后的修理时间均服从不同的指数分布,在工作故障和贮备故障都不能"修复如新"的情况下,运用几何过程理论、拉普拉斯变换和补充变量方法得出该模型的一些可靠性指标.     

修理设备可更换且修理有延迟的两不同型部件并联可修系统

假定部件的寿命服从指数分布,其修理延迟时间和修理时间均服从一般分布,并且修理设备的寿命服从指数分布,其更换时间服从一般分布,利用马尔可夫更新过程理论和一种新的分解方法,研究了修理设备可更换且修理有延迟的两不同型部件并联可修系统,求得了系统和修理设备有关可靠性指标的一系列结果.     

Virtual age,is it real? ‐ Discussing virtual age in reliability context

Several settings, where the notion of virtual age is employed, are discussed. We argue that the age reduction imperfect repair modeling is often not sufficiently justified in practice, as it is not possible to execute repair in most of real situations that conforms with this model. On the other hand, a shock‐based virtual age model is suggested and justified via the probabilities of failures on shocks. The new notion of virtual age for degrading items is also introduced. We discuss how to recalculate virtual age after switching from one regime to another. Several examples illustrating different notions of virtual age are presented.     

Age-reduction models for imperfect maintenance

Maintenance of a deteriorating system is often imperfect, withthe state of the system after maintenance being at a level somewherebetween new and its prior condition.In this paper, the conceptof reduction in virtual or effective age is used to model theeffect of both imperfect corrective maintenance (CM) and imperfectpreventive maitnenance (PM). Results from counting-process theorythen produce a likelihood function necessary for parameter estimation,and the method is tested on known maintenance data. Finally,it is shown how to evaluate, by simulation, the expected numberofsystem failures up to time t under a given periodic PM strategy.This measure is incorporated into a cost rate function whichis then minimized to find the optimal length of a PM intervaland the optimal number of PMs to carry out before system replacement     

Optimal maintenance scheduling for a complex manufacturing system subject to deterioration

We address the problem of determining inspection strategy and replacement policy for a deteriorating complex multi-component manufacturing system whose state is partially observable. We develop inspection and replacement scheduling models and other simple maintenance scheduling models via employing an imperfect repair model coupled with a damage process induced by operational conditions. The system state in performance of the imperfectly repaired system is modelled using a proportional intensity model incorporating a damage process and a virtual age process caused by repair. The system is monitored at periodic times and maintenance actions are carried out in response to the observed system state. Decisions to perform imperfect repair and replacement are based on the system state and crossing of a replacement threshold. The model proposed here aims at joint determination of a cost-optimal inspection and replacement policy along with an optimal level of maintenance which result in low maintenance cost and high operational performance and reliability of the system. To demonstrate the use of the model in practical applications a numerical example is provided. Solutions to optimal system parameters are obtained and the response of the model to these parameters is examined. Finally some features of the model are demonstrated. The approach presented provides a framework so that different scenario can be explored.     

Economic lot scheduling problem with imperfect production processes

In this paper, we model the effects of imperfect production processes on the economic lot scheduling problem (ELSP). It is assumed that the production facility starts in the in-control state producing items of high or perfect quality. However the facility may deteriorate with time and shifts at a random time to an out of control state and begins to produce nonconforming items. A mathematical model is developed for ELSP taking into account the effect of imperfect quality and process restoration. Numerical examples are presented to illustrate important issues related to the developed model.     

An inventory model with reliability in an imperfect production process

The paper analyzes an economic manufacturing quantity (EMQ) model with price and advertising demand pattern in an imperfect production process under the effect of inflation. If the machine goes through a long-run process, it may shift from in-control state to out-of-control state. As a result, the system produces imperfect items. The imperfect items are reworked at a cost to make it as new. The production of imperfect quality items increases with time. To reduce the production of the imperfect items, the systems have to more reliable and the produced items depend on the reliability of the machinery system. In this direction, the author considers that the development cost, production cost, material cost are dependent on reliability parameter. Considering reliability as a decision variable, the author constructs an integrated profit function which is maximized by control theory. A numerical example along with graphical representation and sensitivity analysis are provided to illustrate the model.     

Optimal replenishment policy for imperfect quality EMQ model with rework and backlogging

This paper derives the optimal replenishment policy for imperfect quality economic manufacturing quantity (EMQ) model with rework and backlogging. The classic EMQ model assumes that all items produced are of perfect quality. However, in real‐life manufacturing settings, generation of imperfect quality items is almost inevitable. In this study, a random defective rate is assumed. All items produced are inspected and the defective items are classified as scrap and repairable. A rework process is involved in each production run when regular manufacturing process ends, and a rate of failure in repair is also assumed. Unit disposal cost and unit repairing and holding costs are included in our mathematical modelling and analysis. The renewal reward theorem is employed in this study to cope with the variable cycle length. The optimal replenishment policy in terms of lot‐size and backlogging level that minimizes expected overall costs for the proposed imperfect quality EMQ model is derived. Special cases of the model are identified and discussed. Numerical example is provided to demonstrate its practical usage. Copyright © 2006 John Wiley & Sons, Ltd.     

A comprehensive note on: An economic order quantity with imperfect quality and quantity discounts

Lin [T.Y. Lin, An economic order quantity with imperfect quality and quantity discounts, Appl. Math. Model. 34 (10) (2010) 3158–3165] recently proposed an EOQ model with imperfect quality and quantity discounts, where the lot-splitting shipments policy is adopted. In this note we first rectify the holding cost terms showed in Lin to obtain a new objective function, then resolve the problem and develop an easy to implement algorithm to find the overall optimal solutions for the model. Besides, we present a new model for items with imperfect quality, where lot-splitting shipments and different holding costs for good and defective items are considered. The closed-form formulas for determining the optimal ordering and shipping policies are derived. Also, the results are examined analytically and numerically to gain more insights of the solutions.     

Economic production lot-sizing for an unreliable machine under imperfect age-based maintenance policy

This paper is concerned with the joint determination of both economic production quantity and preventive maintenance (PM) schedules under the realistic assumption that the production facility is subject to random failure and the maintenance is imperfect. The manufacturing system is assumed to deteriorate while in operation, with an increasing failure rate. The system undergoes PM either upon failure or after having reached a predetermined age, whichever of them occurs first. As is often the case in real manufacturing applications, maintenance activities are imperfect and unable to restore the system to its original healthy state. In this work, we propose a model that could be used to determine the optimal number of production runs and the sequence of PM schedules that minimizes the long-term average cost. Some useful properties of the cost function are developed to characterize the optimal policy. An algorithm is also proposed to find the optimal solutions to the problem at hand. Numerical results are provided to illustrate both the use of the algorithm in the study of the optimal cost function and the latter’s sensitivity to different changes in cost factors.     

An EPQ model with inflation in an imperfect production system

In this paper, a production inventory model is considered for stochastic demand with the effect of inflation. Generally, every manufacturing system wants to produce perfect quality items. However, due to real-life problems (labor problems, machine breakdown, etc.), a certain percentage of products are of imperfect quality. The imperfect items are reworked at a cost. The lifetime of a defective item follows a Weibull distribution. Due to the production of imperfect quality items, a product shortage occurs. The profit function is derived by using both a general distribution of demand and the uniform rectangular distribution of demand. Computational experiments along with graphical illustrations are presented to discuss the optimality of the probability functions.     

不完备质量下的报童问题及其评估机制

在产品质量不完备的环境下,考虑了需求依赖于质量水平的报童问题。本文主要利用马氏理论刻画质量水平与需求之间关联性的动态演变过程,并将"不完备质量"的决策理念纳入报童问题的理论框架,进而提出了新的随机库存系统的优化模型及其决策机制。同时,利用随机质量过程中的首达性、遍历性、不可约性等基本属性,构建了随机库存系统在运作和管理过程中的可靠性及其收益评估机制。模型的相关结论表明:在不完备质量的环境下,零售商的最优订购决策是由各个质量状态的转移概率所确定,若由质量水平的波动性所导出的随机过程为不可约遍历马氏链时,则库存系统的决策机制具有良好的稳定性。