scholarly journals Maintenance Optimization for Repairable Deteriorating Systems under Imperfect Preventive Maintenance

Mathematics ◽  
2019 ◽  
Vol 7 (8) ◽  
pp. 716
Author(s):  
Juhyun Lee ◽  
Byunghoon Kim ◽  
Suneung Ahn
Keyword(s):  
System Reliability ◽  
Preventive Maintenance ◽  
Cost Effective ◽  
Optimal Number ◽  
Sensitivity Analyses ◽  
Maintenance Cost ◽  
Maintenance Optimization ◽  
Maintenance Strategies ◽  
Cost Rate ◽  
Maintenance Activities

This study deals with the preventive maintenance optimization problem based on a reliability threshold. The conditional reliability threshold is used instead of the system reliability threshold. Then, the difference between the two thresholds is discussed. The hybrid failure rate model is employed to represent the effect of imperfect preventive maintenance activities. Two maintenance strategies are proposed under two types of reliability constraints. These constraints are set to consider the cost-effective maintenance strategy and to evaluate the balancing point between the expected total maintenance cost rate and the system reliability. The objective of the proposed maintenance strategies is to determine the optimal conditional reliability threshold together with the optimal number of preventive maintenance activities that minimize the expected total maintenance cost per unit time. The optimality conditions of the proposed maintenance strategies are also investigated and shown via four propositions. A numerical example is provided to illustrate the proposed preventive maintenance strategies. Some sensitivity analyses are also conducted to investigate how the parameters of the proposed model affect the optimality of preventive maintenance strategies.

Maintenance optimization of reconfigurable systems based on multi-objective Birnbaum importance

2020 ◽  
pp. 1748006X2090198
Author(s):  
Chenyang Ma ◽  
Wei Wang ◽  
Zhiqiang Cai ◽  
Jiangbin Zhao
Keyword(s):  
Genetic Algorithm ◽  
System Reliability ◽  
System Performance ◽  
Cost Effective ◽  
System Structure ◽  
Maintenance Cost ◽  
Reconfigurable Systems ◽  
Maintenance Optimization ◽  
Multi Objective ◽  
Better Than

Reconfigurable systems can meet the changing requirements of system performance by several approaches, such as adjusting the system structure, improving the component performance, and reassigning components. However, it is also challengeable to find a cost-effective maintenance scheme by integrating these maintenance approaches. This article investigates the multi-objective maintenance optimization problem for reconfigurable systems with the consideration of maintenance cost and system reliability. First, the multi-objective maintenance optimization model is established to maximize the system reliability and minimize the total maintenance cost considering the constraints on budget and system performance. Second, a multi-objective Birnbaum importance is proposed to quantify the contribution of the individual component to the system reliability. The multi-objective Birnbaum importance–based non-dominated sorting genetic algorithm II is developed to obtain the optimal maintenance scheme with the maximum system reliability and minimum maintenance cost. Finally, the performance of multi-objective Birnbaum importance–based non-dominated sorting genetic algorithm II is proved by three numerical experiments. Experiment 1 verifies the advantage of multi-objective Birnbaum importance compared with Birnbaum importance to improve the system reliability in direct maintenance. Experiment 2 shows that the effectiveness of multi-objective Birnbaum importance is much better than that of the Birnbaum importance to enhance the performance of non-dominated sorting genetic algorithm II in comprehensive maintenance. Experiment 3 illustrates that the performance of multi-objective Birnbaum importance–based non-dominated sorting genetic algorithm II is better than that of other multi-objective algorithms combining with multi-objective Birnbaum importance.

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.

An Approach for Cost Effective Assessment in Risk-Based Maintenance as a Life-Cycle Maintenance (LCM) Model

2004 ◽  
Author(s):  
Masataka Yatomi ◽  
Akio Fuji ◽  
Noriko Saito ◽  
Toshiaki Yoshida
Keyword(s):  
Life Cycle ◽  
Power Plants ◽  
Cost Effective ◽  
Life Extension ◽  
Maintenance Cost ◽  
Maintenance Strategy ◽  
Original Design ◽  
Maintenance Strategies ◽  
Effective Assessment ◽  
Maintenance Plan

For aged power plants in Japan, the life extension with retaining the safety and cost-effective beyond the original design lifetime is proposed. Therefore it is important to minimise the risk and maintenance cost to keep operating the plants. Life-Cycle Maintenance (LCM) is proposed for optimising maintenance plan with reliability in the life of the plants. Risk Based Maintenance (RBM) is included in the LCM to assess the risk of components in the plants. LCC and the investment assessment may be also conducted to decide the most cost effective maintenance strategy, if several maintenance strategies are proposed in RBM. In this paper, concept and an application of the LCM are described to optimise maintenance plan in the lifetime of a plant. It was found that the LCM is quite useful method to plan the most cost effective maintenance strategies in the lifetime of the plant.

scholarly journals Development and Optimization of a Condition-Based Maintenance Policy with Sustainability Requirements for Production System

2018 ◽  
Vol 2018 ◽  
pp. 1-19 ◽  
Author(s):  
Aiping Jiang ◽  
Ning Dong ◽  
Kwok Leung Tam ◽  
Chonghao Lyu
Keyword(s):  
Energy Consumption ◽  
Environmental Impact ◽  
System Reliability ◽  
Carbon Dioxide Emissions ◽  
Condition Based Maintenance ◽  
Sensitivity Analyses ◽  
Maintenance Policy ◽  
Major Objective ◽  
Maintenance Strategies ◽  
Ecological Aspects

In the field of condition-based maintenance, maintenance costs and system reliability criteria are the primary considerations for traditional maintenance management. These methods lack consideration of the environmental impact caused by equipment degradation, such as excessive emissions and energy consumption. In addition, because equipment degradation has various impacts on the ecological environment, companies with excessive emissions and energy consumption can receive huge fines, making it of great value to study ecoconscious maintenance strategies. In this paper, we propose a condition-based maintenance strategy considering energy consumption and carbon dioxide emissions. The major objective of the research is to extend a model which integrates ecological aspects with maintenance decision-making and optimization. The simulation and sensitivity analyses conducted verify that the model proposed can minimize total costs, as well as the environmental impact.

scholarly journals AN INTEGRATED MULTI-OBJECTIVES OPTIMIZATION APPROACH ON MODELLING PAVEMENT MAINTENANCE STRATEGIES FOR PAVEMENT SUSTAINABILITY

2020 ◽  
Vol 26 (8) ◽  
pp. 717-732
Author(s):  
Ankang Ji ◽  
Xiaolong Xue ◽  
Yuna Wang ◽  
Xiaowei Luo ◽  
Minggong Zhang
Keyword(s):  
Integrated Approach ◽  
Maintenance Cost ◽  
First Year ◽  
Optimization Approach ◽  
Maintenance Strategies ◽  
Pavement Condition ◽  
Pavement Maintenance ◽  
Road Pavement ◽  
Maintenance Activities

Addressing the multi-dimensional challenges to promote pavement sustainability requires the development of an optimization approach by simultaneously taking into account future pavement conditions for pavement maintenance with the capability to search and determine optimal pavement maintenance strategies. Thus, this research presents an integrated approach based on the Markov chain and Particle swarm optimization algorithm which aims to consider the predicted pavement condition and optimize the pavement maintenance strategies during operation when applied in the maintenance management of a road pavement section. A case study is conducted for testing the capability of the proposed integrated approach based on two maintenance perspectives. For case 1, maintenance activities mainly occur in TM20, TM31, and TM41, with the maximum maintenance mileage reaching 88.49 miles, 50.89 miles, and 20.91 miles, respectively. For case 2, the largest annual maintenance cost in the first year is $15.16 million with four types of maintenance activities. Thereafter, the maintenance activities are performed at TM10, TM31, and TM41, respectively. The results obtained, compared with the linear program, show the integrated approach is effective and reliable for determining the maintenance strategy that can be employed to promote pavement sustainability.

Penentuan Interval Waktu Pemeliharaan Pencegahan pada Peralatan Sub-Unit RKC 3 di PTX Pabrik Tuban

2017 ◽  
Vol 2 (2) ◽  
Author(s):  
Fesa Putra Kristianto ◽  
Bobby O.P. Soepangkat
Keyword(s):  
Preventive Maintenance ◽  
Operating Time ◽  
Maintenance Cost ◽  
Time Interval ◽  
Maintenance Policy ◽  
Cost Rate ◽  
Total Labor ◽  
Finish Mill ◽  
Unit Plant ◽  
Reliability And Availability

PT X Tuban Plant has four plants (unit), namely Tuban I, Tuban II, Tuban III and Tuban IV. Each unit plant has three sub units, i.e., Crusher Operations Sub-Unit, Raw Mill, Kiln and Coal Mill (RKC) Sub-Unit and Finish Mill Sub-Unit. RKC 3 Sub-Unit in Tuban III has the highest number of equipment downtime and production loss. Therefore, it was necessary to optimize the time interval of preventive maintenance ( ) and total labor force as part of the company maintenance policy, would also fulfill the required reliability and availability of RKC 3 Sub-Unit. There were two steps in determining Tp optimum. The first step was to obtain the best distribution of the time between failures (TBF) and time to repair (TTR). The next step was to iterate the operating time (Ti) and Tp to determine the minimum preventive maintenance cost rate, reliability and maintainability.This iteration was applied to sub-units of RKC 3 that possesses a series system. Tp at the lowest rate of maintenance costs was the optimum Tp. The optimum Tp for RKC 3 Sub-Unit is 3743,28 hour. The preventive maintenance cost rate for optimum Tp is Rp33.100/hour and the reliability and availability of sub unit are 96,7% and 99,86% respectively.Keywords: reliability, availability, preventive maintenance cost rate, and preventive maintenance

scholarly journals Implementation of Snubber Service-Life Monitoring Programs

2014 ◽  
Author(s):  
Mark Shutt
Keyword(s):  
Service Life ◽  
Condition Monitoring ◽  
Preventive Maintenance ◽  
Monitoring And Evaluation ◽  
Cost Effective ◽  
Plant Operation ◽  
Traditional Programs ◽  
Effective Program ◽  
Life Values ◽  
Maintenance Activities

A well-planned and -implemented service-life program which is properly used can reduce the need for extended testing and examination activities and can result in a cost-effective overall program. Service-life monitoring is an essential part of an effective snubber program, yet it is often the least detailed and most overlooked aspect. Because of the historical emphasis on examination and testing requirements, there has been little industry-wide consistency or emphasis on the specifics of service-life monitoring activities. This paper will identify the purpose and basis for snubber service-life requirements, as well as outline key elements of an effective program to both identify service-life values and monitor them over periods of extended plant operation. Included in the discussion will be topics such as: Identifying regulatory and code requirements, determining the scope of the program, establishing original service-life values, monitoring and evaluation, adjusting values, program documentation, and reporting. Identifying pertinent parameters for monitoring, appropriate methods for monitoring and trending, and incorporating condition monitoring and preventive-maintenance activities as alternatives to traditional programs will be discussed. Common challenges to implementing an effective program will be addressed, as well as some pitfalls to be avoided. Paper published with permission.

scholarly journals An Optimal Preventive Maintenance Policy for a Solar Photovoltaic System

2020 ◽  
Vol 12 (10) ◽  
pp. 4266 ◽  
Author(s):  
Amir Baklouti ◽  
Lahcen Mifdal ◽  
Sofiene Dellagi ◽  
Anis Chelbi
Keyword(s):  
Preventive Maintenance ◽  
Operating Time ◽  
Optimal Number ◽  
Photovoltaic System ◽  
Maintenance Cost ◽  
Solar Photovoltaic ◽  
Solar Panels ◽  
Maintenance Policy ◽  
Electrical Wiring ◽  
Solar Photovoltaic System

In this paper, we develop a preventive maintenance (PM) strategy for a solar photovoltaic system composed of solar panels functioning as a series system. The photovoltaic system is considered in a failed state whenever its efficiency drops below a predefined threshold or any electrical wiring element is damaged. In such a situation of failure, a minimal repair is performed. The proposed PM strategy suggests systematically replacing n panels with their respective wiring system every time units T over a finite operating time span H. The panels to be preventively replaced are selected by the maintenance agent after an on-site overall assessment of all panels, making sure every time not to replace panels previously replaced during a given replacement cycle of all panels of the system. An analytical model is proposed in order to simultaneously determine the optimal PM period, T, and the optimal number of solar panels, n, to be replaced at each PM. This is done by modeling and minimizing the expected total maintenance cost over the finite operating time horizon H. A numerical example is presented to illustrate the use of the proposed modelling approach and to discuss the obtained results. The latter provide the optimal solutions (T*, n*) for different combinations of input parameters. They also show the economic relevance of the proposed PM strategy through estimation of the economic gain when comparing the situations with and without preventive maintenance.

scholarly journals Efficient harmony search optimization for preventive-maintenance-planning for nuclear power systems

2014 ◽  
Vol 5 ◽  
pp. A17 ◽  
Author(s):  
Abdelkader Rami ◽  
Habib Hamdaoui ◽  
Houari Sayah ◽  
Abdelkader Zeblah
Keyword(s):  
Power Systems ◽  
Preventive Maintenance ◽  
Nuclear Power ◽  
Optimization Technique ◽  
Harmony Search ◽  
Maintenance Cost ◽  
Fast Method ◽  
Optimal Sequence ◽  
System Availability ◽  
Cost Rate

This paper combines the universal generating function UGF with harmony search (HSO) meta-heuristic optimization method to solve a preventive maintenance (PM) problem for series-parallel system. In this work, we consider the situation where system and its components have several ranges of performance levels. Such systems are called multi-state systems (MSS). To enhance system availability or (reliability), possible schedule preventive maintenance actions are performed to equipments and affect strongly the effective age. The MSS measure is related to the ability of the system to satisfy the demand. The objective is to develop an algorithm to generate an optimal sequence of maintenance actions providing system working with the desired level of availability or (reliability) during its lifetime with minimal maintenance cost rate. To evaluate the MSS system availability, a fast method based on UGF is suggested. The harmony search approach can be applied as an optimization technique and adapted to this PM optimization problem.

Maintenance Optimization of the OLED Manufacturing Process

2014 ◽  
Vol 577 ◽  
pp. 90-93
Author(s):  
Peng Chang ◽  
Yin Hui Ao
Keyword(s):  
Preventive Maintenance ◽  
Organic Light Emitting Diodes ◽  
Maintenance Cost ◽  
Total Output ◽  
Maintenance Optimization ◽  
Light Emitting ◽  
Periodic Maintenance ◽  
Productive Process ◽  
Display Technology ◽  
The Cost

OLED (Organic light-emitting diodes) is a kind of brand-new display technology. The production involves many processes and different equipments. We studied the optimization problem of interval of preventive maintenance in OLED processes. With the help of ExtendSim software, we perform quantitative analysis and adjusted the productive process. Considering the cost of the preventive maintenance and random corrective repair, We optimized the interval of periodic maintenance with the limit of total output and obtained the best profit and lowest maintenance cost.

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