Related references
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Article
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Zhijian Wang et al.
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Jiantai Wang et al.
Summary: This study proposes a prognosis-driven, multi-threshold inspection and replacement model for two-phase continuous degradation. Inspections are conducted equally spaced to reveal the health state and real-time degradation level of the system. Different control limits are scheduled to manipulate replacement frequencies under separate system states. The cost model seeks to minimize the long-run cost rate through the joint optimization of inspection interval, control limits, and safety coefficients. A case study on high-speed rail bearings justifies the applicability of the proposed model.
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Sen Tian et al.
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COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
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Hui Xiao et al.
Summary: In real production systems, when there is a lack of demand or exhaustion of raw materials, the system may be stopped, creating an opportunity for maintenance. Modern machines' increased complexity presents challenges in modeling and analyzing their failure behaviors. To address these issues, this article proposes a maintenance model for a single-unit system that can fail due to hard or soft failures. The model utilizes the system's wait time for inspections and maintenance, and determines the optimal inspection interval and age threshold to minimize long-term maintenance costs. A case study demonstrates the effectiveness of the proposed model, and sensitivity analysis explores the impact of cost parameters on the optimal inspection interval and age threshold.
IEEE TRANSACTIONS ON RELIABILITY
(2023)
Article
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Peirui Qiao et al.
Summary: As manufacturers provide new products and services, warranty menus with differentiated options can be a unique selling point. This research perspective suggests that customers should consider warranty plans and post-warranty maintenance strategies simultaneously when making a purchasing decision. A model of warranty and post-warranty maintenance under a flexible renewable warranty is proposed, taking into account repair limits and multiple failure types with time-varying probabilities. Numerical studies show the existence of a joint optimal solution that minimizes the cost rate for the customer's overall warranty-maintenance strategy under the warranty menu.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
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Jiantai Wang et al.
Summary: Inspection is essential in asset management to uncover defects and monitor equipment health. However, imperfect inspections due to technical or human errors challenge decision-making optimality. This study investigates an inspection-based replacement strategy for continuous deteriorating systems, accounting for inspection errors. The non-steady evolution trajectory is captured using a piecewise stochastic process, with inspections equally spaced to reveal system state but with a probability of missing defects. Control limits are scheduled to adjust replacement frequencies, and a cost model is optimized. A case study on high-speed train bearings demonstrates the effectiveness of the proposed strategy, reducing costs by 39% and 4% compared to two conventional policies.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
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Li Yang et al.
Summary: Information-driven mission abort is an effective approach to minimize failure risk in safety-critical systems. This study focuses on optimizing the sampling and mission abort decisions for partially observable systems, where system health state is revealed through sampling. Dynamic policies were developed based on belief state optimization models and partial health information, outperforming heuristic abort policies in controlling mission loss.
Article
Automation & Control Systems
Tianyi Wu et al.
Summary: Load sharing is a common mechanism in redundant systems, with significant impacts on operational safety. However, the existing maintenance scheduling methods are insufficient in mitigating failure risks. To address this problem, we propose a unique two-threshold group maintenance policy for k-out-of-n load-sharing systems. The policy aims to save costs while ensuring continuous operation by mitigating failure risks and minimizing disruption from maintenance activities.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Computer Science, Hardware & Architecture
Li Yang et al.
Summary: This article proposes a prognosis-centered intelligent CBM policy to address the challenge of dispersibility in degradation-induced failure threshold in CBM. The policy utilizes dynamic lifetime information to support both scheduled and opportunistic maintenance decision-making, enabling the optimization of operational safety and availability of mechatronic systems.
IEEE TRANSACTIONS ON RELIABILITY
(2023)
Article
Automation & Control Systems
Li Yang et al.
Summary: This article explores how to design mission abort policies in order to balance the possibility of mission success and system survivability in a mission environment. By considering the degradation degree of monitored health features and system age, operators can abort the mission at early system ages if the degradation reaches a preset control limit. The performance of some heuristic abort policies is analyzed for comparison. The contribution of this article lies in scheduling mission abort plans that utilize both condition monitoring and age information, which enhances the timeliness and robustness of risk control. A case study on inertial navigation systems of UAV executing line inspection missions is used to demonstrate the applicability and superiority of the proposed abort policies.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Engineering, Industrial
Gregory Levitin et al.
Summary: Recent studies have shown that reusing standby elements during the mission can significantly improve mission success probability. This paper contributes by modeling and optimizing the replacement and maintenance schedule (RMS) for a dual-unit warm standby system to minimize total expected mission cost, considering operation, standby, maintenance costs, and mission failure penalty cost. The proposed probabilistic model-based methodology assesses mission success probability and expected mission cost, with an optimization problem formulated to find the optimal RMS solution.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
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Heping Jia et al.
Summary: A novel reliability model for demand-based warm standby systems with capacity storage is formulated in this study, exploring the chronological characteristics of warm standby components and analyzing the effects on system reliability. A multi-valued decision diagram is developed to evaluate system reliability considering successful activation probabilities of warm standby components.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
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Rui Zheng et al.
Summary: This paper presents a dynamic inspection and replacement policy for a production system with two nonidentical units and an inventory system. Decision making is based on condition monitoring of the deterioration state of unit 1 and the failures of unit 2, aiming to minimize the long-run average cost rate through optimizing the inspection interval and replacement policy.
APPLIED MATHEMATICAL MODELLING
(2022)
Article
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Mani Sharifi et al.
Summary: This paper aims to minimize the expected daily inspection cost of a load-sharing system with identical components through optimizing the utilization of components and the duration of inspection intervals. A new heuristic algorithm and a genetic algorithm are used to optimize the model, and the results show that the model can reduce the cost by a maximum of 64.89% compared to other existing strategies.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
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Rui Peng et al.
Summary: This research discusses the optimal maintenance policies considering multiple failure modes in parallel systems and evaluates their applications through simulation experiments. The findings provide valuable insights for choosing the best policy.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
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Rui Zheng et al.
Summary: This paper proposes a novel recursive method to approximately assess the health indices of the proportional hazards model with a Markovian covariate process. Two practical examples demonstrate the accuracy and efficiency of the proposed method.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
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Gregory Levitin et al.
Summary: This article discusses heterogeneous, cold standby systems operating in a random environment modeled by the Poisson process. The article derives recursive equations for obtaining the mission success probability and develops a numerical algorithm. It also solves an optimization problem to determine the number of shocks triggering elements' replacements and provides a detailed numerical example in a cloud computing environment.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Computer Science, Hardware & Architecture
Xufeng Zhao et al.
Summary: This article revisits optimization problems in age-based replacement models for exponential failure distributions, discussing scenarios for age replacement with exponential and random distributions, and providing numerical examples and necessary proofs in the appendix.
IEEE TRANSACTIONS ON RELIABILITY
(2022)
Article
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Hui Xiao et al.
Summary: Existing research has focused on improving the reliability of distributed computing systems, without considering the performance sharing mechanism. This study proposes a reliability model for evaluating distributed computing systems with performance sharing, and formulates an optimization model for deriving the optimal performance sharing policy.
IEEE TRANSACTIONS ON RELIABILITY
(2022)
Article
Operations Research & Management Science
Junyuan Wang et al.
Summary: A new repairable k-out-of-n system model is proposed in this paper, taking into account the deviation cost of the system and studying different replacement policies and optimum number of units. Numerical examples demonstrate the effectiveness of the model.
ANNALS OF OPERATIONS RESEARCH
(2022)
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Xufeng Zhao et al.
Summary: This paper proposes effective replacement policies should be collaborative ones, gathering data from time of operations, mission durations, minimal repairs and maintenance triggering approaches. Replacement policies with time of operations and random arrival times of mission durations, as well as replacement policies with minimal repairs and mission durations are discussed and analyzed in detail. Maintenance triggering approaches, such as replacement first and last, are also considered into respective replacement policies.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
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Yanjing Zhang et al.
Summary: This paper studies a two-stage system subject to two competing risks, where failures are hidden and can only be detected through periodic inspections. A preventive maintenance policy based on observed system state is proposed to minimize the expected cost rate, by determining the optimal inspection interval. A numerical example is provided to demonstrate the applicability of the method and results.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
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Fengxia Zhang et al.
Summary: This paper investigates a two-phase imperfect inspection strategy combined with a hybrid preventive maintenance policy for a three-state system, and illustrates the advantages of the method through numerical examples.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Jingjing Wang et al.
Summary: This paper introduces a joint optimization problem for a series system with two non-identical units, aiming to minimize the system average maintenance cost by simultaneously determining replacement and ordering activities.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Computer Science, Hardware & Architecture
Zihan Zhang et al.
Summary: This article introduces a state-based maintenance policy with multifunctional maintenance windows to address the impact of random environments on industrial assets. The policy aims to minimize cost rate through joint optimization of inspection interval, postponed interval, and opportunistic threshold, demonstrating superior performance over conventional policies in experimental studies.
IEEE TRANSACTIONS ON RELIABILITY
(2021)
Article
Green & Sustainable Science & Technology
Li Yang et al.
Summary: This article introduces a novel weather-centered O&M framework for wind turbines, considering the impacts of wind on energy production and maintenance plans. By quantifying both positive and negative effects of wind conditions, a flexible maintenance resource allocation policy is developed to improve overall revenue.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2021)
Article
Engineering, Industrial
Satoshi Mizutani et al.
Summary: This paper examines age and periodic replacement policies in general replacement models, considering major and minor failures. The expected cost rates for planned replacement policies are calculated and optimal regular and random replacement policies are compared analytically in terms of cost. Numerical analyses illustrate exponential minor failure, exponential major failure, and Weibull major failure with increasing hazard rate of minor failure.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
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Jingjing Wang et al.
Summary: The study establishes a joint optimization model of maintenance-spare part provisioning policy for a production system to improve the timeliness and robustness of maintenance decisions, mitigate production downtime due to spare part delays, and maximize the system net profit.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
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Hui Xiao et al.
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RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
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Review
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Gregory Levitin et al.
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