2016
DOI: 10.1016/j.ress.2016.06.003
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A novel approach for modelling complex maintenance systems using discrete event simulation

Abstract: Existing approaches for modelling maintenance rely on oversimplified assumptions which prevent them from reflecting the complexity found in industrial systems. In this paper, we propose a novel approach that enables the modelling of non-identical multi-unit systems without restrictive assumptions on the number of units or their maintenance characteristics. Modelling complex interactions between maintenance strategies and their effects on assets in the system is achieved by accessing event queues in Discrete Ev… Show more

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Cited by 65 publications
(45 citation statements)
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“…Although the simulation is well established for representation of the operation of productive systems in general, it is still developing in the maintenance area [3]. Simulation has traditionally been used as a tool to understand and perform experiments with a system.…”
Section: Refer To Equipment Bmentioning
confidence: 99%
“…Although the simulation is well established for representation of the operation of productive systems in general, it is still developing in the maintenance area [3]. Simulation has traditionally been used as a tool to understand and perform experiments with a system.…”
Section: Refer To Equipment Bmentioning
confidence: 99%
“…Therefore, it is suggested to evaluate all applicable maintenance strategies for critical assets in the system. The modelling of industrial systems involving various maintenance strategies was made possible using the modelling approach suggested by the authors [7].…”
Section: Discussionmentioning
confidence: 99%
“…Maintenance strategies were modelled according to the approach described by the authors [7]. It enables the modelling of non-identical multi-unit manufacturing systems without restrictions on maintenance or manufacturing characteristics ( Figure 1).…”
Section: Simulation Modellingmentioning
confidence: 99%
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“…As highlighted above, reliability and availability are two common measures of complex system performance, their role being essential in product and service quality (Akhavein and Fotuhi Firuzabad, 2011). Therefore, reliability and availability analyses are fundamental to support the analyst in the implementation of actions addressed to the improvement of the technical and economic performance of the system under investigation (Mi et al, 2016;Chalabi et al, 2016;Alrabghi and Tiwari, 2016). Since reliability and availability analyses are based on the identification of the major system criticalities, reliability relations among components need to be firstly established, and then the set of priority components to be maintained has to be selected.…”
Section: Choosing the Fundamental Parameters Of Studymentioning
confidence: 99%