Maintenance Cost Optimal Model for Failure Dependence

2013 ◽  
Vol 401-403 ◽  
pp. 2345-2348
Author(s):  
Hai Fei Diao ◽  
Jing Cai ◽  
Yu Fu ◽  
Hai Bin Lin ◽  
Xiang Zhang
Keyword(s):  
Minimum Cost ◽  
Parallel System ◽  
Condition Based Maintenance ◽  
Maintenance Cost ◽  
Optimal Model ◽  
Cost Rate ◽  
System Maintenance ◽  
Failure Dependence ◽  
Dependent Failure ◽  
Detection Interval

With the development of Condition-Based Maintenance, there is an urgent need for failure dependence of redundant components in parallel system. In this paper, Markov maintenance cost decision analysis based on failure dependence of components was put forward, moreover, maintenance cost optimal model of parallel system with cost rate was established, meanwhile, the minimum cost rate as well as corresponding optimal detection interval was obtained. Finally, failure dependence and dependent failure rate to parallel system maintenance cost optimal model were studied and realized to prove this theory.

scholarly journals A condition-based maintenance model with past-dependent imperfect preventive repairs for continuously deteriorating systems

2019 ◽  
Vol 234 (2) ◽  
pp. 333-358 ◽  
Author(s):  
Khac Tuan Huynh ◽  
Antoine Grall
Keyword(s):  
Special Kind ◽  
Condition Based Maintenance ◽  
Maintenance Cost ◽  
Engineering Practice ◽  
Imperfect Maintenance ◽  
Maintenance Policy ◽  
Cost Rate ◽  
The One ◽  
Maintenance Model ◽  
Deteriorating Systems

Most condition-based imperfect maintenance models developed over the last few decades are memoryless in the sense that maintenance efficiency is completely [Formula: see text]-independent of previous interventions. However, many maintenance activities exhibit their past dependency in engineering practice, and this significant property should not be ignored in maintenance modeling. In this spirit, our aim is to develop a condition-based maintenance model for continuously deteriorating systems subject to a special kind of past-dependent imperfect repairs. Such a repair can put the system back to a deterioration level better than the one at just before the current repair, but worse than the one reached at the last repair. Besides, inspection and replacement are memoryless actions available for the system. They result in different effects on the system deterioration and incur different costs. To achieve high economic performances in the long term, these actions are coordinated into a control-limit deterioration-based maintenance policy. Its long-run maintenance cost rate is analytically evaluated using the semi-regenerative process theory. Numerous sensitivity studies to maintenance costs and to system characteristics give a thorough understanding about the policy behavior. Furthermore, comparisons with more classical policies justify the importance of incorporating the past dependency in maintenance modeling.

scholarly journals Condition-based Maintenance Optimization for Gamma Deteriorating Systems under Performance-based Contracting

2021 ◽  
Author(s):  
Xi Zhu ◽  
Liang Wen ◽  
Juan Li ◽  
Mingchang Song ◽  
Qiwei Hu
Keyword(s):  
Optimization Problems ◽  
Low Cost ◽  
Condition Based Maintenance ◽  
Maintenance Cost ◽  
Particle Swarm Algorithm ◽  
Maintenance Optimization ◽  
Corrective Maintenance ◽  
Cost Rate ◽  
Inspection Interval ◽  
Deteriorating Systems

Abstract With the further development of service-oriented, performance-based contracting (PBC) has been widely adopted in industry and manufacturing. However, maintenance optimization problems under PBC have not received enough attention. To further extend the scope of PBC’s application in the field of maintenance optimization, we investigate the condition-based maintenance (CBM) optimization for gamma deteriorating systems under PBC. Considering the repairable single-component system subject to the gamma degradation process, this paper proposes a CBM optimization model to maximize the profit and improve system performance at a relatively low cost under PBC. In the proposed CBM model, the first inspection interval has been considered in order to reduce the inspection frequency and the cost rate. Then, a particle swarm algorithm (PSO) and related solution procedure are presented to solve the multiple decision variables in our proposed model. In the end, a numerical example is provided so as to demonstrate the superiority of the presented model. By comparing the proposed policy with the conventional ones, the superiority of our proposed policy is proved, which can bring more profits to providers and improve performance. Sensitivity analysis is conducted in order to research the effect of corrective maintenance cost and time required for corrective maintenance on optimization policy. A comparative study is given to illustrate the necessity of distinguishing the first inspection interval or not.

Availability analysis and maintenance optimization for multiple failure mode systems considering imperfect repair

2021 ◽  
pp. 1748006X2110127
Author(s):  
Qingan Qiu ◽  
Baoliang Liu ◽  
Cong Lin ◽  
Jingjing Wang
Keyword(s):  
Failure Modes ◽  
Maintenance Cost ◽  
Imperfect Maintenance ◽  
Maintenance Policy ◽  
Cost Rate ◽  
Availability Analysis ◽  
Long Run ◽  
Optimal Maintenance ◽  
Maintenance Policies ◽  
Periodic Inspections

This paper studies the availability and optimal maintenance policies for systems subject to competing failure modes under continuous and periodic inspections. The repair time distribution and maintenance cost are both dependent on the failure modes. We investigate the instantaneous availability and the steady state availability of the system maintained through several imperfect repairs before a replacement is allowed. Analytical expressions for system availability under continuous and periodic inspections are derived respectively. The availability models are then utilized to obtain the optimal inspection and imperfect maintenance policy that minimizes the average long-run cost rate. A numerical example for Remote Power Feeding System is presented to demonstrate the application of the developed approach.

ROBUST INTERVAL-BASED MINIMAX-REGRET ANALYSIS METHOD FOR FILTER MANAGEMENT OF FLUID POWER SYSTEM

2013 ◽  
Vol 30 (06) ◽  
pp. 1350021
Author(s):  
SONGLIN NIE ◽  
HUI JI ◽  
YEQING HUANG ◽  
ZHEN HU ◽  
YONGPING LI
Keyword(s):  
Power System ◽  
Optimal Strategies ◽  
Decision Makers ◽  
Fluid Power ◽  
Maintenance Cost ◽  
Minimax Regret ◽  
Fluid Power System ◽  
System Maintenance ◽  
Management Alternatives

Fluid contamination is one of the main reasons for the wear failure and the related downtime in a hydraulic power system. Filters play an important role in controlling the contamination effectively, increasing the reliability of the system, and maintaining the system economically. Due to the uncertainties of system parameters, the complicated relationship among components, as well as the lack of effective approach, managing filters is becoming one of the biggest challenges for engineers and decision makers. In this study, a robust interval-based minimax-regret analysis (RIMA) method is developed for the filter management in a fluid power system (FPS) under uncertainty. The RIMA method can handle the uncertainties existed in contaminant ingressions of the system and contaminant holding capacity of filters without making assumption on probabilistic distributions for random variables. Through analyzing the system cost of all possible filter management alternatives, an interval element regret matrix can be obtained, which enables decision makers to identify the optimal filter management strategy under uncertainty. The results of a case study indicate that the reasonable solutions generated can help decision makers understand the consequence of short-term and long-term decisions, identify optimal strategies for filter allocation and selection with minimized system-maintenance cost and system-failure risk.

System maintenance cost dependent on life cycle under renewing warranty policy

2010 ◽  
Vol 95 (7) ◽  
pp. 816-821 ◽  
Author(s):  
Ki Mun Jung ◽  
Minjae Park ◽  
Dong Ho Park
Keyword(s):  
Life Cycle ◽  
Maintenance Cost ◽  
System Maintenance

scholarly journals Balancing reliability and maintenance cost rate of multi-state components with fault interval omission

2018 ◽  
Vol 21 (1) ◽  
pp. 37-45 ◽  
Author(s):  
Wenjie Dong ◽  
Sifeng Liu ◽  
Xiaoyu Yang ◽  
Huan Wang ◽  
Zhigeng Fang
Keyword(s):  
Maintenance Cost ◽  
Cost Rate

Optimization of equal-cycle maintenance strategy considering imperfect preventive maintenance

2021 ◽  
pp. 095440892110638
Author(s):  
Xinlong Li ◽  
Yan Ran ◽  
Genbao Zhang
Keyword(s):  
Decision Making ◽  
Preventive Maintenance ◽  
Maintenance Cost ◽  
Maintenance Strategy ◽  
Action Unit ◽  
Cost Rate ◽  
Equipment Reliability ◽  
Optimal Maintenance ◽  
Important Means ◽  
Maintenance Decision

Preventive maintenance is an important means to extend equipment life and improve equipment reliability. Traditional preventive maintenance decision-making is often based on components or the entire system, the granularity is too large and the decision-making is not accurate enough. The meta-action unit is more refined than the component or system, so the maintenance decision-making based on the meta-action unit is more accurate. Therefore, this paper takes the meta-action unit as the research carrier, considers the imperfect preventive maintenance, based on the hybrid hazard rate model, established the imperfect preventive maintenance optimization model of the meta-action unit, and the optimization solution algorithm was given for the maintenance strategy. Finally, through numerical analysis, the validity of the model is verified, and the influence of different maintenance costs on the optimal maintenance strategy and optimal maintenance cost rate is analyzed.

scholarly journals Blue Carbon Cooperation in the Maritime Silk Road with Network Game Model and Simulation

2019 ◽  
Vol 11 (10) ◽  
pp. 2748
Author(s):  
Changping Zhao ◽  
Xiaojiang Xu ◽  
Yu Gong ◽  
Houming Fan ◽  
Haojia Chen
Keyword(s):  
Carbon Tax ◽  
Simulation Method ◽  
Silk Road ◽  
Blue Carbon ◽  
Maintenance Cost ◽  
Tax Rate ◽  
Cost Rate ◽  
Strategic Value ◽  
Maritime Silk Road ◽  
Continuous Input

The blue carbon cooperation is a joint effort of the countries along the Maritime Silk Road (MSR) to utilize marine activities and organisms to absorb and store carbon dioxide in the atmosphere, an initiative that has great strategic value for coping with the most important environmental problems in the 21st century and promoting the building of a community with shared aspirations for mankind’s future. This research combines the decision-making structure model with the reality of the blue carbon cooperation game of the MSR to make conditional assumptions and carry out model construction. It uses the simulation method to test the influencing factors such as decision-maker type, initial input cost, continuous input maintenance cost, rate of return, carbon tax rate and others. The results suggest that initial and continuous input costs, returns, and neighbor subsidies have positive impacts on blue carbon cooperation, while carbon tax rates and income discount rates have negative impacts on blue carbon cooperation. To promote blue carbon cooperation along the MSR, emphasis should be placed on the design of incentive and subsidy mechanisms, together with the appropriate punishment mechanisms.

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