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Proactive maintenance scheduling in consideration of imperfect repairs and production wait time

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TLDR
A two-phase opportunistic maintenance framework based on defect information is designed, which integrates properties of production waits into the decision-making process and outperforms some classic maintenance policies.
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This article is published in Journal of Manufacturing Systems.The article was published on 2019-10-01. It has received 29 citations till now. The article focuses on the topics: Proactive maintenance & Planned maintenance.

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Citations
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An approximate nondominated sorting genetic algorithm to integrate optimization of production scheduling and accurate maintenance based on reliability intervals

TL;DR: The proposed model based on accurate maintenance of reliability intervals is demonstrated, and the optimal reliability threshold between the yellow and red areas is found to be 0.82, revealing that the machine can maintain higher availability and reliability when compared to other models in the authors' experiments.
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Reinforcement learning for combined production-maintenance and quality control of a manufacturing system with deterioration failures

TL;DR: A Reinforcement Learning-based approach is proposed in order to obtain the optimal joint production, maintenance and product quality control policies of a stochastic production/inventory system that produces a single type of products.
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A joint classification-regression method for multi-stage remaining useful life prediction

TL;DR: The proposed multi-stage remaining useful life (MS-RUL) prediction effectively integrates the machine/deep learning based classification and regression to improve overall estimation accuracy.
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Imperfect corrective maintenance scheduling for energy efficient manufacturing systems through online task allocation method

TL;DR: This paper aims at creating a real-time CM scheduling policy to reduce the overall maintenance and energy related cost for a stochastic serial production line and formulated as an online task allocation (OTA) problem.
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Real-time integrated production-scheduling and maintenance-planning in a flexible job shop with machine deterioration and condition-based maintenance

TL;DR: In this paper, a real-time optimization-based system that utilizes a modified hybrid genetic algorithm, an integrated proactive-reactive optimization model, and hybrid rescheduling policies was proposed.
References
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Journal ArticleDOI

An overview of time-based and condition-based maintenance in industrial application

TL;DR: It can be concluded that the application of the CBM technique is more realistic, and thus more worthwhile to apply, than the TBM one, however, further research on CBM must be carried out in order to make it more realistic for making maintenance decisions.
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Invited reviewImperfect maintenance

TL;DR: The maintenance of a deteriorating system is often imperfect: the system after maintenance will not as good as new, but younger as discussed by the authors, which indicates a significant breakthrough in reliability and maintenance theory.
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Maintenance of Continuously Monitored Degrading Systems

TL;DR: A realistic maintenance policy is investigated, referred to as condition-based availability limit policy, which achieves the maximum availability level of a continuously degrading systems under continuous monitoring.
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An overview of the recent advances in delay-time-based maintenance modelling

TL;DR: This paper reviews the recent advances in delay-time-based maintenance modelling, which is one of the mathematical techniques for optimising inspection planning and related problems.
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Condition-based maintenance using the inverse Gaussian degradation model

TL;DR: It is proved that the monotone control limit policy is optimal and sensitivity analysis of the model parameters on the optimal policy is conducted.
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