Lease-Oriented Opportunistic Maintenance for Multi-Unit Leased Systems Under Product-Service Paradigm

Xia, Tangbin; Xi, Lifeng; Pan, Ershun; Fang, Xiaolei; Gebraeel, Nagi

doi:10.1115/1.4035962

Cited by 48 publications

(5 citation statements)

References 33 publications

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“…Both the prior severity and the particular maintenance action carried out regarding its quality and harshness, can influence the deterioration of various equipment. An age reduction coefficient can be used to represent the actual influence of maintenance and deterioration on the equipment, (e.g., Duan et al, 2018), or a hazard rate adjustment factor (e.g., Xia et al, 2017). To abate the impact of deterioration on equipment, inspections, CM, PM and Overhaul actions are carried out (Bouslah et al, 2018;Rivera-Gómez et al, 2016).…”

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confidence: 99%

A simulation-based optimization approach evaluating maintenance and spare parts demand interaction effects

Wakiru

Pintelon

Muchiri

et al. 2019

International Journal of Production Economics

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Industrial facilities frequently experience significant production losses due to unanticipated failures, sub-optimal maintenance, operational and spare parts logistics challenges. These among other factors directly affect the plant's performance measures such as availability, repair time and costs. Consequently, optimization addresses such challenges. However, a fundamental problem presented here relates to the need for a framework that assists in the determination of critical system to be optimized, variables that significantly impact the performance of such systems, and subsequently undertake optimization. To realistically model such complexities, a framework that applies the discrete simulation model of critical repairable subsystems, undergoing deterioration is proposed. The study utilises empirical maintenance data, where Pareto analysis is employed to identify critical subsystems, while expert input is incorporated to derive model variables. A full factorial Design of Experiment (DOE), is employed to establish the variables with significant main and interaction effects on the total repair time and subsequently employed as decision variables for a simulation-based optimization. The proposed framework is demonstrated in a case study of a thermal power plant. Simulation results highlight the turbocharger as the critical subsystem, while spares availability, the time between overhaul (TBO) and reliance on different maintenance strategies exhibit most significant main and interaction effects. The optimization results obtained demonstrate that TBO, spares availability and reliance on various maintenance strategies, provide a significant impact on the reduction of the repair time. The framework enhances maintenance decision making by optimizing the plants' operational and maintenance related factors identified.

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confidence: 99%

A simulation-based optimization approach evaluating maintenance and spare parts demand interaction effects

Wakiru

Pintelon

Muchiri

et al. 2019

International Journal of Production Economics

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“…Mourtzis et al 64 develop a cloud-based platform for condition-based preventive maintenance in PSS. Unlike traditional maintenance models, Xia et al 65 consider both the product-service paradigm and the individual machine degradation, and draw a leasing policy to schedule the preventive maintenance operations. Rymaszewska et al 66 develop a framework to connect the value creation and the servitization processes with the data generated by the ICTs.…”

Section: Application Of the Ictsmentioning

confidence: 99%

Status review and research strategies on product-service supply chain

Elomri

Zhang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part B:

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This study draws a holistic view of the supply chain with three service strategies – namely, after-sales service; maintenance, repair and operations; and the product-service system – by analysing over 71 articles in this field. In this investigation, the content analysis is used to scrutinize the research to establish the knowledge, reveal the research opportunities and propose research strategies. The supply chain for product-service system depends more heavily on the implementation of the cooperation, collaboration and integration principles in operation. However, a complete analysis reveals that those crucial principles did not embody in current literature. Current research also failed to discuss the service operation decisions by modelling the intricate relations among them in a broad product-service supply chain context. Thus, the future research directions include developing service demand forecasting models; combining the time-series methods and the causal methods; establishing service resource planning models; addressing the relations between service deliverables, service capacity and the service resource; and strengthening the quantitative evaluation of the product-service supply chain performance with a systemic view. Moreover, by addressing the principles of cooperation, collaboration and integration, the added values of this review are the proposed research strategies for integrated forecasting of product services, integrated product-service resource allocation and scheduling, and systematic performance evaluation of the product-service supply chain. The findings and the proposed research strategies develop an in-depth understanding of product-service supply chain applications and serve as a basis for future research.

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“…When serious performance degradation or failure happens to mechanical products, maintenance or replacement has to be performed to ensure the economy and safety of the products [10][11][12][13][14][15]. Maintenance can be classified into corrective maintenance (CM) and preventive maintenance (PM).…”

Section: Introductionmentioning

confidence: 99%

Generalized Reliability Analysis of Mechanical Systems with Imperfect Maintenance

Gao

Xie

2022

Mathematical Problems in Engineering

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Generalized reliability models and failure rate models of mechanical systems are developed in this paper according to the system working mechanism, which take the design parameters as input. The models consider strength degradation and imperfect maintenance. Besides, the models take into account the failure correlation caused by homologous load effect and the maintenance correlation owing to group maintenance. Unlike traditional reliability models, the models do not rely on empirical assumptions when considering failure correlation and maintenance correlation and have clear physical meaning. Moreover, the correctness and effectiveness of the models are verified by Monte Carlo simulations. Finally, the influences of failure correlation and maintenance correlation on generalized reliability, the influences of failure correlation on maintenance correlation, and the influences of maintenance correlation on failure correlation are analyzed via numerical examples. The results show that failure correlation and maintenance correlation have great influences on generalized reliability, and the interaction between the two correlation shows obvious time-varying characteristics.

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Lease-Oriented Opportunistic Maintenance for Multi-Unit Leased Systems Under Product-Service Paradigm

Cited by 48 publications

References 33 publications

A simulation-based optimization approach evaluating maintenance and spare parts demand interaction effects

A simulation-based optimization approach evaluating maintenance and spare parts demand interaction effects

Status review and research strategies on product-service supply chain

Generalized Reliability Analysis of Mechanical Systems with Imperfect Maintenance

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