Dynamic behavioural model for assessing impact of regeneration actions on system availability: Application to weapon systems

Monnin, Maxime; Iung, Benoît; Sénéchal, Olivier

doi:10.1016/j.ress.2010.10.002

Cited by 6 publications

(4 citation statements)

References 21 publications

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“…For example, this is possible in a maintenance application where the major indicators are related to concepts of reliability engineering and system safety [34]. In this context, it would seem convenient for industrial systems facing high failures to opt, among the reliability engineering instruments available, for system regeneration to restore their availability [35]. Availability of the system is defined on the basis of the possible states of the required functions for a mission and notably in the modeling method; the starting point remains the conceptual taxonomies model for the description of systems.…”

Section: Discussionmentioning

confidence: 99%

Analysis reuse exploiting taxonomical information and belief assignment in industrial problem solving

Jabrouni¹,

Kamsu-Foguem²,

Geneste³

et al. 2013

Computers in Industry

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Section: Discussionmentioning

confidence: 99%

Analysis reuse exploiting taxonomical information and belief assignment in industrial problem solving

Jabrouni¹,

Kamsu-Foguem²,

Geneste³

et al. 2013

Computers in Industry

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“…Although some works deals with the transformation from UML language to simulation tools (SAN (Monnin and al., 2011), Stochastic Petri Nets (Bernardi and al., 2008)), this language remains more suitable for information system modeling. SysML language, which is an extension of UML, appears more adapted not only for industrial system modeling but also for the model reusability during the design phase.…”

Section: The Use Of a Sysml-based Framework For « Static And Interactmentioning

confidence: 99%

“…2. PROBLEM STATEMENT ON CMPQ Monnin and al. (2011) underline the comparison between the different main scientific approaches related to maintenance decision, and describes CMPQ as a medium time decision applying to a wide number of components.…”

Section: Introductionmentioning

confidence: 99%

Modeling Framework based on SysML and AltaRica Data Flow languages for developing models to support complex maintenance program quantification

Ruin

Levrat

Iung

2012

IFAC Proceedings Volumes

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With the financial crisis attacking every industry and the new sustainability requirements such as the extension of a system operation time subject to ageing life (i.e. nuclear power plant), the importance of maintenance being effective and efficient is one of the top priorities for any industrial company. This challenge cannot be achieved only through conventional maintenance optimization models focusing mainly on few components but through maintenance programs based on "system thinking" considerations. In that way, managers need to have at their disposal new decision-making tools well adapted to support these considerations and allowing comparing off-line the impact of maintenance programs on complex system performances like costs and availability (Complex Maintenance Program Quantification-CMPQ). Thus, this paper proposes a model driven framework based both on the use of SysML to model a system-of-interest subject to ageing and maintenance and on the use of formal language AltaRica Data Flow to support model simulation.

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“…[1][2][3][4] The evaluation of the operational effectiveness becomes a key mission for the equipment demonstration and acquisition departments. It is well known that it will cost too much money in doing some tests and experiments for the weapon equipment systems in developing.…”

Section: Introductionmentioning

confidence: 99%

An evaluation method oriented to the comprehensive credibility of simulation data source based on evidence theory

Huang

Wang

et al. 2016

AIR

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The operational effectiveness of the weapon systems is usually evaluated by the reasonable simulation results. But it is difficult to measure and evaluate the credibility of the simulation data source. An evaluation indices system of the credibility for the simulation data source is built up. A set of quantitative evaluation rules are set up based on the experts' judgments and the fuzzy expression. The credibility is evaluated from the terminal layer indices to the top ones. First, many experts are assigned to evaluate the credibility of the terminal layer indices. Then the credibility of each terminal layer indices of simulation data source is combined and synthesized into the comprehensive credibility of the whole simulation data source. An evaluation method based on the evidence theory is established to integrate above different sub-credibility of simulation data source. All the lower layer indices are required to fuse into the upper ones, and finally get the comprehensive credibility of the simulation data source. For example, the credibility of the simulation data source for the armored equipment systems is evaluated based on above methods. The evaluation results show that the methods based on D-S evidence theory are reasonable and feasible.

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Dynamic behavioural model for assessing impact of regeneration actions on system availability: Application to weapon systems

Cited by 6 publications

References 21 publications

Analysis reuse exploiting taxonomical information and belief assignment in industrial problem solving

Analysis reuse exploiting taxonomical information and belief assignment in industrial problem solving

Modeling Framework based on SysML and AltaRica Data Flow languages for developing models to support complex maintenance program quantification

An evaluation method oriented to the comprehensive credibility of simulation data source based on evidence theory

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