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1.
    
This paper deals with the selective maintenance problem for a multi-component system performing consecutive missions separated by scheduled breaks. To increase the probability of successfully completing its next mission, the system components are maintained during the break. A list of potential imperfect maintenance actions on each component, ranging from minimal repair to replacement is available. The general hybrid hazard rate approach is used to model the reliability improvement of the system components. Durations of the maintenance actions, the mission and the breaks are stochastic with known probability distributions. The resulting optimisation problem is modelled as a non-linear stochastic programme. Its objective is to determine a cost-optimal subset of maintenance actions to be performed on the components given the limited stochastic duration of the break and the minimum system reliability level required to complete the next mission. The fundamental concepts and relevant parameters of this decision-making problem are developed and discussed. Numerical experiments are provided to demonstrate the added value of solving this selective maintenance problem as a stochastic optimisation programme.  相似文献   

2.
    
This paper deals with imperfect preventive maintenance (PM) optimisation problem. The system to be maintained is typically a production system assumed to be continuously monitored and subject to stochastic degradation. To assess such degradation, the proposed maintenance model takes into account both corrective maintenance (CM) and PM. The system undergoes PM whenever its reliability reaches an appropriate value, while CM is performed at system failure. After a given number of maintenance actions, the system is preventively replaced by a new one. Both CM as well as PM are considered imperfect, i.e. they bring the system to an operating state which lies between two extreme states, namely the as bad as old state and as good as new state. The imperfect effect of CM and PM is modelled on the basis of the hybrid hazard rate model. The objective of the proposed PM optimisation model consists on finding the optimal reliability threshold together with the optimal number of PM actions to maximise the average availability of the system. A mathematical model is then proposed. To solve this problem an algorithm is provided. A numerical example is presented to illustrate the proposed maintenance optimisation model.  相似文献   

3.
面向k-out-of-n:f系统的两阶段周期维护策略研究   总被引:1,自引:0,他引:1  
以k-out-of-n:f系统为研究对象,针对系统故障率和维护成本随年龄增加而增加的现象,提出了两阶段维护策略.在第一阶段,对发生的一切故障采用最小维护处理.在第二阶段,对第一类故障不做处理,当发生第二类故障时即通过替换使系统恢复正常,若到达预防维护周期时仍无第二类故障发生,则对系统进行预防性维护.在模型基础上,运用有...  相似文献   

4.
    
This paper presents an adaptive maintenance model for equipment that can be adjusted (minor preventive maintenance, imperfect state) or replaced (major preventive maintenance, as good as new) at specific scheduled times based on degradation measurements. An initial reliability law that uses a degradation‐based model is built from the collection of hitting times of a failure threshold. Inspections are performed to update the reliability, the remaining useful life, and the optimum time for preventive maintenance. The case of both as good as new replacements and imperfect adjustments is considered. The proposed maintenance model is based on the optimization of the long‐term expected cost per unit of time. The model is then tested on a numerical case study to assess its effectiveness. This results in an improvement for the occurrences of maintenance tasks that minimizes the mean cost per unit of time as well as an optimized number of adjustments that can be considered before replacing an item. The practical application is a decision aid support to answer the 2 following questions: Should we intervene now or wait for the next inspection? For each intervention, should we adjust or replace the item of equipment? The originality is the presence of 2 criteria that help the maintainer to decide to postpone or not the preventive replacement time depending on the measured degradation and to decide whether the item should be adjusted or replaced.  相似文献   

5.
    
Machine line is a type of manufacturing system in which machines are connected in series or in parallel. It is significant to ensure the reliability as well as to reduce the total cost of maintenance and failure losses in the maintenance programs of such systems. Cost‐based selective maintenance decision‐making, which is the best method for a selected group of machines in machine line is presented under limited maintenance durations. Fault losses and maintenance costs of a single machine under different maintenance actions i.e. minimal repair, preventive maintenance and overhaul on the fault rate of the machine are calculated. An algorithm combining the heuristic rules and tabu search is proposed to solve the presented selective maintenance model. Finally, a case study on the maintenance decision‐making problem of a connecting rod machining line in the automobile engine workshop is presented to illustrate the applicability of the proposed method. The end result shows that the fault losses can be further reduced by the optimization of maintenance interval and maintenance duration. Copyright © 2010 John Wiley & Sons, Ltd.  相似文献   

6.
    
This paper develops reliability and maintenance models for a single‐unit system subject to hard failures under random environment of external shocks. Motivated by the observations of shot‐noise process in practice, the impact of shock damage on system failure behavior is characterized by random hazard rate increments. To remove such negative impact, imperfect preventive repair is performed periodically, and preventive replacement is performed after several repairs. Considering the joint effects of both random shocks and imperfect repair on the system hazard rate, we derive recursive equations for the system reliability function. Furthermore, we investigate the optimal maintenance policy that minimizes the expected cost per unit time of the system. The applicability of the reliability and maintenance model is validated by a case study on a wind turbine system.  相似文献   

7.
构建了不完备生产与条件维护下的生产批量模型,采用威布尔分布的曲线分布宽度描述可靠性的退化性,考虑了曲线分布宽度为等比数列和等差数列2种模型,利用报酬更新理论求解了期望平均总成本的最小值。结果表明,第1种模型的期望平均总成本要高于设备不具有退化性的期望平均总成本,前者的条件维护的阈值、最优生产批量和维护次数都比后者的少;第2种模型的期望平均总成本总体要低于设备不具有退化性的期望平均总成本,前者的条件维护的阈值比后者的少,而前者的维护次数和最优生产批量都比后者的多。研究还发现,公比和公差是影响期望平均总成本的最重要因素,需求是影响条件维护的可靠性阈值的最重要因素。本文的相关启示可为管理者提供决策参考依据。  相似文献   

8.
《国际生产研究杂志》2012,50(13):3621-3629
This paper considers randomly failing, single-unit equipment subject to a periodic preventive maintenance (PM) policy. In case of failure between successive perfect PM actions (renewals), imperfect repairs are performed following a decreasing quasi-renewal process. One of two different maintenance crews can perform the repairs. One team is more experienced, and consequently more efficient than the other, but more costly. A mathematical model is developed in order to determine the PM period, T, and the kth repair, during a PM period, after which the repair team should be changed, minimising the average total cost per time unit over an infinite time span. It is also proved that an optimal solution in terms of the PM period always exists for any given system lifetime distribution and any set of maintenance costs. Numerical examples are presented and the obtained results are discussed.  相似文献   

9.
    
Many systems are required to perform a series of missions with finite breaks between any two consecutive missions. To improve the probability of system successfully completing the next mission, maintenance action is carried out on components during the breaks. In this work, a selective maintenance model with stochastic maintenance quality for multi-component systems is investigated. At each scheduled break, a set of maintenance actions with different degrees of impact are available for each component. The impact of a maintenance action is assumed to be random and follow an identified probability distribution. The corresponding maintenance cost and time are modelled based on the expected impact of the maintenance action. The objective of selective maintenance scheduling is to find the cost-optimal maintenance action for each component at every scheduled break subject to reliability and duration constraints. A simulated annealing algorithm is used to solve the complicated optimisation problem where both multiple maintenance actions and stochastic quality model are taken into account. Two illustrative numerical examples and a real case study have been solved to demonstrate the performance of the proposed approach. A comparison with deterministic maintenance shows the importance of considering the proposed stochastic quality in selective maintenance scheduling.  相似文献   

10.
The traditional production model development assumed that all products are perfect quality and did not consider maintenance, which is far from reality. In practice, the production process may shift randomly from an in-control state to an out-of-control state during a production run, i.e. process deterioration. This paper considers both preventive maintenance and corrective maintenance which are used to increase the system reliability. The objective of this paper is to determine the optimal production run time and maintenance frequency while minimising the total cost under process deterioration and trade credit. This paper develops a theorem and an algorithm to solve the problem described, provides numerical analysis to illustrate the proposed solution procedure, and discusses the impact of various system parameters. A real case of hi-tech manufacturer is used to verify the model. It predicts a 10.36% decrease in total cost if the preventive maintenance decision is considered.  相似文献   

11.
    
Selective maintenance is regarded as a type of profit‐generating maintenance policy, playing an important role in balancing limited maintenance resources with system performance. Since 1988, increasing interest has been focused on this research area. Nevertheless, to the best of our knowledge, there is a lack of critical reviews of selective maintenance. This paper is the first systematic review focusing on this relevant topic. In this work, a definition and some specific features of selective maintenance are elaborated. Based on these features, a set of criteria that have been considered in selective maintenance optimization are summarized into 3 categories: system characteristics, maintenance characteristics, and mission profile characteristics. Based on these criteria, a comprehensive literature review on selective maintenance is undertaken. The solution approaches, as well as a general procedure for selective maintenance optimization, are discussed. Finally, some possible directions for further research are provided.  相似文献   

12.
Assigning technicians to maintenance tasks at an aircraft maintenance base is challenging and needs to consider technician licences, fairness and such operational constraints as hangar capacity and work shifts. We formulate the problem as a bi-objective optimisation model, which minimises total cost while simultaneously achieving fairness in workload allocation among different technicians. A tabu-based heuristic algorithm is developed to obtain Pareto efficient solutions. The algorithm is shown to be effective through comparison with CPLEX. A case study from a major Chinese airline demonstrates that our optimisation-based approach is applicable and beneficial to the practice. Managerial issues on maintenance workforce management are examined as well. The results show that training technicians and upgrading their licences may not be better off, and increasing the number of technicians has both favourable and unfavourable effects.  相似文献   

13.
    
Hot standby redundancy maintains the working order of a system, repairs offer restoration in case of failure, and preventive maintenance (PM) prevents trouble. Warranties provide assurance to customers, and a superior warranty signifies higher product quality. The running costs of redundancy, maintenance and warranties influence decisions during product manufacture. Therefore, this paper presents an economic production quantity (EPQ) model for a parallel system with maintenance, production, and free-repair warranty (FRW) programmes. The production system begins with a basic unit and produces conforming items. PM is performed after the production run period and is classified as imperfect or perfect. If the basic unit fails, it is repaired and returned to operation after perfect PM; the spare unit is online only during the repair time of the basic unit. The spare will produce some number of defective goods, which are reworked in the same inventory cycle. The hot spare is minimally repaired if it fails in its standby or online mode. In this study, an inferior item is defined as one that satisfies specifications on inspection and is usable but is likely to incur postsale servicing costs when sold under an FRW. The total cost of this EPQ model includes setup, holding, PM, restoration, minimal repair, and warranty costs. The optimal production runtime is determined by minimising the total cost. Several cases are discussed in this paper, and the proposed model is illustrated using a numerical example and sensitivity.  相似文献   

14.
    
Herein, the compressive strength and reliability of a prime cubic (PC) lattice structure are studied. The PC lattice structure is treated as a 3D consecutive k-out-of-n(F) system to study the compressive strength and the reliability of lattice structures. To do this, a reliability analysis model for compressive strength is proposed to predict the strength and dispersion of the whole structure based on the strength and dispersion of PC unit cells. Compressive strength tests on four kinds of PC lattice structures printed by selective laser melting (SLM) process have been accomplished and analyzed. The main failure modes of PC lattice structures have been analyzed afterward to simplify the strength model. Specifically, the unit cell compressive strength of lattice structures can be calculated by the finite element method (FEM) and can use this to calculate the compressive strength of the whole lattice structure. The predicted results are in good agreement with the experimental results, which shows the rationality of the model. The results indicate that as the diameter of the strut increases, the strength dispersion of the lattice structure also increases. This model offers an approach for studying the reliability of lattice structures.  相似文献   

15.
OptimumMaintenanceandAvailabilityofSeriesSystemsSubjecttoImperfectRepairHongzhouWangHoangPhamDepartmentofIndustrialEnginering...  相似文献   

16.
不完整结构系统同时考虑强度和刚度的可靠性分析   总被引:5,自引:0,他引:5       下载免费PDF全文
基于结构强度可靠性分析理论的基础之上,提出了不完整结构(结构系统中有部分元件已失效,但结构未变成机构仍具有一定的承载能力)强度、刚度可靠性的分析方法.该方法考虑了元件因强度失效对不完整结构系统强度、刚度可靠性的影响,同时导出了等效安全余量的形式,进而计算结构系统在失效各阶段的总体失效概率.并结合算例对结构系统在失效各阶段进行了强度、刚度的可靠性分析.算例表明,这样分析符合结构在使用各阶段可靠性的真实情况,从而为结构的合理利用起指导性作用.  相似文献   

17.
    
This study examines reliability of equipment (RoE) through three approaches: equipment design reliability, human reliability (HR), and maintenance-based reliability. HR plays a key role in minimizing human error (HE) and subsequently enhancing RoE. Given that equipment reliability is influenced by numerous factors, these technologies come with various constraints, multiple outputs, and inputs. Compared to mathematical programming and analytical models, simulation methods in the field of reliability are relatively limited. However, system dynamics (SD) modeling is well-suited to capture dynamics and complexity of systems, making it a valuable tool for long-term strategic decision-making. In this study, a combination of SD and regression approaches has been employed to explore the relationship between reliability and key variables such as HE and profit. Initially, the variables influencing reliability are identified, and then SD is utilized to understand the processes and interactions among these variables. Furthermore, linear regression is employed to establish the relationship between affective variables, reliability, and HE. To validate the results obtained from the proposed method, a sensitivity analysis is conducted. The results demonstrate the effectiveness of the proposed model. Simulation results indicate that implementing policies such as employee training and preventive maintenance significantly enhances RoE, leading to increased sales and profits for the organization. Therefore, managers should prioritize these variables and allocate adequate attention and resources to them.  相似文献   

18.
Many design considerations are involved in ensuring structural integrity of Boeing jet transports, which have common design features validated by extensive analyses, tests, and service performance. Designing for continued structural integrity in the presence of damage such as fatigue or corrosion is an evolutionary process. Performance demands, increasing structural complexity, and aging fleet reassessments have required development of standards suitable for application by large teams of engineers. This presentation is focused on such methods with special emphasis on practical fatigue reliability considerations. Durability evaluations are based on quantitative structural fatigue ratings which incorporate reliability considerations for test data reduction and fleet performance predictions. Fatigue damage detection assessments are based on detection reliability estimates coupled to damage growth and residual strength evaluations. Data are presented to airline operators on detection check forms which permit efficient maintenance planning to achieve required fatigue damage detection reliability levels.  相似文献   

19.
静态多路径分配法在公路网规划中的应用   总被引:3,自引:0,他引:3  
介绍了静态多路径交通分配方法的模型建立和程序设计。并从有效出行路线的确定,最短路权的计算,有效路段的边权及节点点权计算,各路段交通量(简称OD)分配率及分配交通量的计算等方面给出了该模型的算法与程序框图。同时,对该方法在广珠高速公路规划中交通量分配预测的实际应用、软件实现,进行了分析探讨。根据所得结果,表明该方法优于最短路径法,为广珠高速公路的规划建设提供了科学的数据依据。  相似文献   

20.
    
The main challenge in maintenance planning lies in the realistic modeling of the maintenance policy. This paper is focused on the maintenance optimization of complex repairable systems using Bayesian networks. A new policy is developed for periodic imperfect preventive maintenance policy with minimal repair at failure; this policy allows us to take into consideration several types of preventive maintenance with different efficiency levels. The Bayesian networks are used for complex system modeling, allowing the evaluation of the model parameters. The Weibull parameters and the maintenance efficiency are evaluated thanks to the proposed methodology using Bayesian inference. The approach developed in this paper is applied on a real system, to determine the optimal maintenance plan for a turbo‐pump in oil industry. Copyright © 2016 John Wiley & Sons, Ltd.  相似文献   

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