Maintenance optimization considering the mutual dependence of the environment and system with decreasing effects of imperfect maintenance

Article Engineering, Industrial

Modeling dynamic environment effects on dependent failure processes with varying failure thresholds

Bei Wu et al.

Summary: This paper discusses the causes and behavior of device failures, presents analytical and maintenance models, and performs reliability analysis and optimization.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2023)

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Article Engineering, Industrial

A novel condition-based maintenance framework for parallel manufacturing systems based on bivariate birth/birth-death processes

Fariba Azizi et al.

Summary: This paper addresses the condition-based maintenance scheduling for a continuously monitored manufacturing system. It develops a novel framework using a tractable bivariate Birth/Birth-Death process and renewal theory to find the optimal policy. The results show that the optimal maintenance policy can be derived by minimizing the long-run expected average cost per unit time.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2023)

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Article Engineering, Industrial

A gamma process based model for systems subject to multiple dependent competing failure processes under Markovian environments

Bei Wu et al.

Summary: The article proposes a reliability model for systems subject to multiple dependent competing failure processes affected by Markovian environments, with a maintenance model developed for distinct gamma processes controlling the natural wear behavior of the system in different environments. Analytically derived explicit formulas for system reliability indexes and a simulation algorithm are used to verify the correctness of the models and results. The applicability of the proposed models and the validity of obtained results are illustrated through a study case of a micro-engine system.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2022)

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Article Engineering, Industrial

A condition-based maintenance policy considering failure dependence and imperfect inspection for a two-component system

Nan Zhang et al.

Summary: This study investigates the condition-based maintenance of a two-component system under imperfect inspection. A dual periodical inspection policy is proposed, and an algorithm is developed to achieve maintenance optimization. Numerical examples demonstrate the applicability of the model in providing reference for optimizing maintenance budget decisions.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2022)

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Article Engineering, Industrial

Maintenance optimisation of multicomponent systems using hierarchical coordinated reinforcement learning

Yifan Zhou et al.

Summary: This paper introduces a hierarchical coordinated reinforcement learning (HCRL) algorithm to optimize maintenance of large-scale multicomponent systems, with agent parameters and coordination relationships designed based on system characteristics, and a hierarchical structure established according to components' structural importance measures. The effectiveness of the algorithm is confirmed through validation on different systems, outperforming other methods including deep reinforcement learning.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2022)

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Article Engineering, Industrial

A condition-based maintenance model considering multiple maintenance effects on the dependent failure processes

Qiannan Liu et al.

Summary: In this paper, a condition-based maintenance model is proposed, which considers both the negative and positive effects of maintenance actions and constructs a vector space to intuitively show the maintenance impacts.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2022)

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Article Engineering, Industrial

Joint optimization of condition-based maintenance policy and buffer capacity for a two-unit series system

Ning Zhang et al.

Summary: This paper addresses a joint optimization problem of maintenance policy and buffer capacity for a two-unit series system. The system consists of two machines and an intermediate buffer, and maintenance actions are taken based on the deterioration state of the system. By analyzing system states and transition probabilities, the expected cost and sojourn time of the system are constructed. The joint optimization decision is determined by minimizing the average operation and maintenance cost per unit time of the system. A simulation example is used to demonstrate the superiority of the proposed joint optimization strategy.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2022)

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Article Engineering, Industrial

A condition-based maintenance policy for multi-component systems subject to stochastic and economic dependencies

Yukun Wang et al.

Summary: This paper proposes a condition-based maintenance (CBM) optimization approach for complex systems. The decision rule at the system level determines whether preventive and/or corrective maintenance actions are needed based on the system's predictive reliability. At the component level, the optimal group of components for preventive maintenance is identified considering reliability improvement and maintenance cost.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2022)

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Article Engineering, Industrial

A condition-based maintenance policy for continuously monitored multi-component systems with economic and stochastic dependence

Jordan L. Oakley et al.

Summary: This paper proposes a condition-based maintenance policy for multi-component systems that incorporate both stochastic and economic dependence, aiming to optimize replacement decisions. The policy includes a utility function that balances rewards of clustering component replacements with costs of load sharing. Through numerical studies, it is shown that this policy outperforms other alternative policies by reducing system life-cycle costs.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2022)

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Article Green & Sustainable Science & Technology

Life-cycle maintenance strategy of bridges considering reliability, environment, cost and failure probability CO2 emission reduction: A bridge study with climate scenarios

Yinshan Liu et al.

Summary: Climate change significantly affects the deterioration of existing infrastructure, specifically concrete structures. This study proposes a framework that considers reliability, environment, and cost to optimize the life-cycle maintenance strategy of bridges under climate change. By using the decision tree method, the optimal strategy for bridge life cycle maintenance and reinforcement is determined with different optimization objectives. The failure probability of emission reduction targets for bridges is also estimated based on CO2 reduction goals. The findings highlight the importance of the climate adaptability assessment framework in optimizing the maintenance budget and environmental impact of aging bridge structures.

JOURNAL OF CLEANER PRODUCTION (2022)

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Article Engineering, Industrial

Condition-based opportunistic maintenance policies with two-phase inspections for continuous-state systems

Yuan Chen et al.

Summary: This study introduces two condition-based opportunistic maintenance policies for continuously degraded systems, utilizing a two-phase inspection method to make component maintenance decisions based on system performance, and minimizing long-run expected costs by considering a combination of thresholds and system inspection intervals.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2022)

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Article Engineering, Industrial

Optimizing a condition-based maintenance policy by taking the preferences of a risk-averse decision maker into account

Tom Ivar Pedersen et al.

Summary: Reasonably accurate RUL predictions can assist in formulating maintenance policies and acquiring resources based on predicted needs, but may also increase the risk of long downtime and substantial losses. Decision makers' financial risk tolerance should be taken into account when optimizing the challenge.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2022)

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Article Computer Science, Interdisciplinary Applications

Reliability assessment for a k-out-of-n: F system supported by a multi-state protective device in a shock environment

Xian Zhao et al.

Summary: Protective devices are crucial for the stable operations of safety-critical systems by reducing the risks of system failures. However, the research on protective devices is currently limited. This paper proposes a system model with a multi-state protective device and analyzes a series of probabilistic indices for the system and the protective device using finite Markov chain imbedding approach and phase-type distributions.

COMPUTERS & INDUSTRIAL ENGINEERING (2022)

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Article Engineering, Industrial

Condition-based maintenance strategy for redundant systems with arbitrary structures using improved reinforcement learning

Ao Yang et al.

Summary: This paper studies the optimal CBM strategy for redundant systems with arbitrary system structures using improved reinforcement learning, considering failure and economic dependences. Numerical studies show that the proposed method is effective in reducing the maintenance cost and efficient in searching the optimal CBM strategy for redundant systems.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2022)

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Article Engineering, Multidisciplinary

Reliability and maintenance analysis of a degradation-threshold-shock model for a system in a dynamic environment

Nan Zhang et al.

Summary: This paper studies a degradation-threshold-shock model for a system in a dynamic environment, considering stochastic dependence between the degradation process and shock arrival process. The research focuses on the maintenance strategy when the degradation level exceeds a threshold or failure occurs, as well as related reliability measures and maintenance costs.

APPLIED MATHEMATICAL MODELLING (2021)

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Article Engineering, Industrial

Generalized condition-based maintenance optimization for multi-component systems considering stochastic dependency and imperfect maintenance

Jun Xu et al.

Summary: This paper investigates the optimal CBM policy for a K-out-of-N: G system under periodic inspection, with focus on economic dependency, stochastic dependency, and imperfect maintenance to minimize expected long-run discounted cost. Utilizing Markov decision process framework, the study discretizes state space and employs value iteration algorithm with Monte Carlo simulation for optimization. Numerical studies on a 1-out-of-2: G system examine impacts of degradation processes, copula functions, and imperfect maintenance, providing insights for multi-component system maintenance and conducting sensitivity analysis on cost-related parameters.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)

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Article Computer Science, Interdisciplinary Applications

Condition-based maintenance planning for multi-state systems under time-varying environmental conditions

Jiawen Hu et al.

Summary: This study focuses on the case where system degradation and environmental condition evolution are governed by Markov processes. It proposes an inspection/maintenance policy, determines long-run average cost based on semi-regenerative properties, and minimizes cost by jointly determining key parameters.

COMPUTERS & INDUSTRIAL ENGINEERING (2021)

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Article Engineering, Multidisciplinary

Reliability and maintenance of systems subject to Gamma degradation and shocks in dynamic environments

Bei Wu et al.

Summary: This paper presents a reliability model for systems subject to sudden shocks and natural wear processes in randomly evolving environments, providing explicit computation formulas and simulation algorithms for calculating the cumulative distribution function of the first passage time. Additionally, a corrective replacement policy and analytical derivation of system availability are considered in the study.

APPLIED MATHEMATICAL MODELLING (2021)

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Article Computer Science, Interdisciplinary Applications

Joint optimisation on maintenance policy and resources for multi-unit parallel production system

Wenke Gao et al.

Summary: This paper develops an optimal model for multi-unit parallel production systems, which jointly optimizes PM policy, the number of repairmen, and spare units to improve resource utilization efficiency. Through a real case study and sensitivity analysis, the necessity and effectiveness of the model are demonstrated.

COMPUTERS & INDUSTRIAL ENGINEERING (2021)

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Article Engineering, Industrial

Joint Optimization of Condition-Based Maintenance and Spare Parts Orders for Multi-Unit Systems with Dual Sourcing

Meimei Zheng et al.

Summary: Efficient coordination in maintenance scheduling and spare parts management can reduce overall operational costs for companies. Balancing response times and prices from multiple suppliers is key in further reducing operational costs. A joint condition-based maintenance and spare parts provisioning policy can significantly reduce expected costs by as much as 42% in a multi-unit system with dual sourcing.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)

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Article Engineering, Industrial

Optimal condition-based preventive maintenance policy for balanced systems

Jingjing Wang et al.

Summary: Research on maintenance optimization for balanced systems is limited, and this paper proposes a condition-based preventive maintenance policy to address this gap. The policy aims to prevent competing failures by setting optimal PM thresholds based on minimizing system maintenance costs within a semi-Markov decision process framework. An illustrative example is provided to demonstrate the application of the proposed PM policy for balanced systems.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)

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Article Engineering, Industrial

Reliability and maintenance for performance-balanced systems operating in a shock environment

Xiaoyue Wang et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)

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Article Computer Science, Interdisciplinary Applications

Dynamic maintenance policy for systems with repairable components subject to mutually dependent competing failure processes

Nooshin Yousefi et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2020)

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Article Engineering, Industrial

Multi-state balanced systems in a shock environment

Xian Zhao et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)

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Article Engineering, Industrial

Optimal maintenance policy considering imperfect repairs and non-constant probabilities of inspection errors

Fengxia Zhang et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)

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Article Engineering, Industrial

Condition-based maintenance optimization for multi-component systems subject to a system reliability requirement

Yue Shi et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)

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Article Computer Science, Hardware & Architecture

Imperfect Preventive Maintenance Policies With Unpunctual Execution

Xiaolin Wang et al.

IEEE TRANSACTIONS ON RELIABILITY (2020)

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Article Engineering, Industrial

Condition-based maintenance with dynamic thresholds for a system using the proportional hazards model

Rui Zheng et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)

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Article Engineering, Industrial

Dynamic mission abort policy for systems operating in a controllable environment with self-healing mechanism

Qingan Qiu et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)

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Article Engineering, Industrial

Deep reinforcement learning for condition-based maintenance planning of multi-component systems under dependent competing risks

Nailong Zhang et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)

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Article Engineering, Industrial

Joint optimization of monitoring quality and replacement decisions in condition-based maintenance

Khanh T. P. Nguyen et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2019)

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Article Engineering, Industrial

Discretizing continuous-time continuous-state deterioration processes, with an application to condition-based maintenance optimization

Bram de Jonge

RELIABILITY ENGINEERING & SYSTEM SAFETY (2019)

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Article Computer Science, Interdisciplinary Applications

Reliability and opportunistic maintenance for a series system with multi-stage accelerated damage in shock environments

Xian Zhao et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2019)

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Article Management

Availability and optimal maintenance policy for systems degrading in dynamic environments

Jingyuan Shen et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2019)

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Article Engineering, Industrial

Reliability modeling for dependent competing failure processes with mutually dependent degradation process and shock process

Che Haiyang et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2018)

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Article Computer Science, Interdisciplinary Applications

An imperfect maintenance policy for mission-oriented systems subject to degradation and external shocks

Bin Liu et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2016)

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Article Engineering, Industrial

Kernel estimator of maintenance optimization model for a stochastically degrading system under different operating environments

I. B. Sidibe et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2016)

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Article Computer Science, Interdisciplinary Applications

Condition-based maintenance policies for a combined wear and shock deterioration model with covariates

Wenjin Zhu et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2015)

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Article Computer Science, Interdisciplinary Applications

Optimal maintenance policies for systems subject to a Markovian operating environment

Yisha Xiang et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2012)

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Article Management

Optimal maintenance of systems with Markovian mission and deterioration

Bora Cekyay et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2012)

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Article Engineering, Industrial

Modeling the evolution of system reliability performance under alternative environments

Alan G. Hawkes et al.

IIE TRANSACTIONS (2011)

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Article Engineering, Industrial

Condition-based inspection/replacement policies for non-monotone deteriorating systems with environmental covariates

Xuejing Zhao et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2010)

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Maintenance optimization considering the mutual dependence of the environment and system with decreasing effects of imperfect maintenance

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