The signal model: A model for competing risks of opportunistic maintenance

Bedford, Tim; Dewan, Isha; Meilijson, Isaac; Zitrou, Athena

doi:10.1016/j.ejor.2011.05.016

Cited by 29 publications

(10 citation statements)

References 24 publications

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“…There are many ways of determining opportunistic maintenance thresholds. Bedford et al 27 proposed a system reliability model based on fault distribution that releases a risk signal, which was used for decision-making for an opportunistic maintenance model. Huang et al 26 considered the elimination of the weight matrix multi-correlation and proposed an intelligent fault diagnosis method.…”

Section: Time Threshold Of Opportunity Maintenancementioning

confidence: 99%

An improved opportunity maintenance model of complex system

Yuan

Jin

Jia

et al. 2019

Advances in Mechanical Engineering

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To solve the problems of multiple parts, high cost of disassembly, and imperfect maintenance in multi-component complex systems, an opportunistic maintenance model of multi-component complex systems based on a time threshold is proposed in this article. The influence of the disassembly sequence and hybrid evolution factors on maintenance and learning-forgetting effects are considered in the proposed model. In this article, the learning-forgetting effect of the field strip in the components on the same level or components on different levels is considered in addition to the shortest disassembly path of multi-component complex systems. Imperfect and preventive maintenance is applied in a complex system, and random failure involves minor repairs. Multiple objectives that minimize maintenance costs and maximize operation time rate are proposed. Monte Carlo simulation is used to solve the model and obtain the time threshold of optimal opportunistic maintenance. The results show the feasibility of the opportunistic maintenance model.

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Section: Time Threshold Of Opportunity Maintenancementioning

confidence: 99%

An improved opportunity maintenance model of complex system

Yuan

Jin

Jia

et al. 2019

Advances in Mechanical Engineering

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“…Bedford and Alkali (2009) discussed the modeling of the OM specifically in relation to competing risks. Introducing a form of opportunistic condition-based maintenance (CBM), Bedford et al (2011) presented a model for the system failure behavior (released signals and failure propensity) which captured the interaction of the system lifetime and OM to assess the risk of failure. Considering changes in job shop schedule, Zhou et al (2012) developed a dynamic opportunistic PM model for a multi-component system, in which 72 JQME 21,1 the maintenance practice was dynamically determined by maximizing the short-term cumulative OM cost-savings.…”

Section: Literature Reviewmentioning

confidence: 99%

Bottleneck-based opportunistic maintenance model for series production systems

Zhou

Shao

et al. 2015

Journal of Quality in Maintenance Engineering

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Purpose – The purpose of this paper is to develop a bottleneck-based opportunistic maintenance (OM) model for the series production systems with the integration of the imperfect effect into maintenance activities. Design/methodology/approach – On the analysis of availability and maintenance cost, preventive maintenance (PM) models subjected to imperfect maintenance for different equipment types are built. And then, a cost-saving function of OM is established to find out an optimal OM strategy, depending on whether the front-bottleneck machines adopt OM strategy or not. A numerical example is given to show how the proposed bottleneck-based OM model proceeded. Findings – The simulation results indicate that the proposed model is better than the methods to maintain the machines separately and the policy to maintain all machines when bottleneck machine reaches its reliability threshold. Furthermore, the relationship between OM strategy and corresponding parameters is identified through sensitivity analysis. Practical implications – In practical situations, the bottleneck machine always determines the throughput of the whole series production system. Whenever a PM activity is carried out on the bottleneck machine, there will be an opportunity to maintenance other machines. Under such circumstances, findings of this paper can be utilized for the determination of optimal OM policy with the objective of minimizing total maintenance cost of the system. Originality/value – This paper presents a bottleneck-based OM optimization model with the integration of the imperfect effect as a new method to schedule maintenance activities for a series production system with buffers. Furthermore, to the best of the knowledge, this paper presents the first attempt to considering the bottleneck constraint on system capacity and diverse types of machines as a means to minimize the maintenance cost and ensure the system throughput.

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“…In addition, to investigating the dynamics between opportunistic maintenance and leasing profits, our framework also considers the impact of system structure. The conception of opportunistic maintenance is utilized to solve the complexity of multi-unit leased system scheduling, which refers to the optimal maintenance scheme that PM actions are carried out at opportunities [21][22][23][24][25]. For a manufacturing line, when one leased machine is preventive maintained, PM opportunities arise for other ones [26][27][28][29].…”

Section: Introductionmentioning

confidence: 99%

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

Xia

Pan

et al. 2017

Journal of Manufacturing Science and Engineering

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With many industries increasingly relying on leased equipment and machinery, many original equipment manufacturers (OEMs) are turning to product-service packages where they deliver (typically lease) the physical assets. An integrated service contract will be offered for the asset. A classic example being Rolls Royce power-by-the-hour aircraft engines. Service contracts offered by original equipment manufacturers have predominantly focused on maintenance and upkeep activities for a single asset. Interestingly enough, manufacturing industries are beginning to adopt the product-service paradigm. However, one of the unique aspects in manufacturing settings is that the leased system is often not a single asset but instead a multi-unit system (e.g., an entire production line). In this paper, we develop a lease-oriented maintenance methodology for multi-unit leased systems under product-service paradigm. Unlike traditional maintenance models, we propose a leasing profit optimization (LPO) policy to adaptively compute optimal preventive maintenance (PM) schedules that capture the following dynamics: (1) the structural dependencies of the multi-unit system, (2) opportunistic maintenance of multiple system components, and (3) leasing profit savings (LPSs). We demonstrate the performance of our multi-unit maintenance policy by using a leased automotive manufacturing line and investigate its impact on leasing profits.

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The signal model: A model for competing risks of opportunistic maintenance

Cited by 29 publications

References 24 publications

An improved opportunity maintenance model of complex system

An improved opportunity maintenance model of complex system

Bottleneck-based opportunistic maintenance model for series production systems

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

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