scholarly journals A condition-based maintenance policy for multi-component systems with a high maintenance setup cost

OR Spectrum ◽  
2015 ◽  
Vol 37 (4) ◽  
pp. 1007-1035 ◽  
Author(s):  
Qiushi Zhu ◽  
Hao Peng ◽  
Geert-Jan van Houtum
Keyword(s):  
Condition Based Maintenance ◽  
Maintenance Policy ◽  
Setup Cost ◽  
Component Systems

scholarly journals Optimal Condition-Based Maintenance Strategy for Multi-Component Systems under Degradation Failures

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4346
Author(s):  
Kui Wang ◽  
Chao Deng ◽  
Lili Ding
Keyword(s):  
Critical Level ◽  
Condition Based Maintenance ◽  
Maintenance Strategy ◽  
Maintenance Policy ◽  
Cost Rate ◽  
Optimal Monitoring ◽  
Long Run ◽  
Component Systems ◽  
Maintenance Decision ◽  
The Impact

This paper proposes a condition-based maintenance strategy for multi-component systems under degradation failures. The maintenance decision is based on the minimum long-run average cost rate (LACR) and the maximum residual useful lifetime (RUL), respectively. The aim of this paper is to determine the optimal monitoring interval and critical level for multi-component systems under different optimization objectives. A preventive maintenance (PM) is triggered when the degradation of component exceeds the corresponding critical level. Afterwards, the paper discusses the relationship between the critical level and the monitoring interval with regards to the LACR and RUL. Methods are also proposed to determine the optimal monitoring interval and the critical level under two decision models. Finally, the impact of maintenance decision variables on the LACR and RUL is discussed through a case study. A comparison with conventional maintenance policy shows an outstanding performance of the new model.

Modelling condition-based maintenance for nonidentical two-component systems considering four types of dependencies

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdullah Alrabghi
Keyword(s):  
Multiobjective Optimization ◽  
Condition Based Maintenance ◽  
Maintenance Cost ◽  
Maintenance Policy ◽  
Content Type ◽  
Maintenance System ◽  
Modeling Approach ◽  
Component Systems ◽  
Two Component ◽  
Two Component Systems

PurposeThe move toward Industry 4 is accelerated by the availability of affordable sensing technologies and networking infrastructure. Condition-Based Maintenance is the well-suited maintenance strategy to make use of the information available on assets condition to optimize maintenance interventions. However, devising the optimum maintenance policy requires a representative model of the maintenance system. Most of the existing research has been focusing on single-component systems. However, assets nowadays are complex and composed of many components. The modeling of multicomponent maintenance systems presents various challenges, especially if interactions between components, such as stochastic, structural, economic and resource dependencies are considered.Design/methodology/approachIn this paper, we present a detailed modeling approach based on Discrete Event Simulation for nonidentical two-component systems subject to Condition-Based Maintenance considering all four types of dependencies.FindingsThe research has shown that optimizing the maintenance system without considering resource dependence led to different and better solutions. In addition, there is a trade-off between maintenance cost and asset availability, confirming the need for multiobjective optimization.Originality/valueThis paper outlines a modeling approach of CBM for nonidentical two-component systems considering stochastic, structural, economic and resource dependencies. A demonstration on a case study is followed where multiobjective optimization was applied to obtain the optimal maintenance policy while minimizing maintenance cost and maximizing asset availability simultaneously.

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