RAMS+C informed decision-making with application to multi-objective optimization of technical specifications and maintenance using genetic algorithms

Martorell, Sebastián; Sancho, M. T.; Alberola, Sofía Carlos; Nebot, Y.; Sánchez, Ana Isabel; Pitarch, José Luis; Serradell, V.

doi:10.1016/j.ress.2004.04.009

Cited by 99 publications

(39 citation statements)

References 14 publications

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“…Martorell et al [7] proposed integrated multicriteria decision-making (IMCDM) in order to achieve better scores in reliability, availability, maintainability, safety, and cost (RAMS+C) at nuclear power plants. The proposed methodology integrates, among others, the risk to environment.…”

Section: Literature Reviewmentioning

confidence: 99%

Development and Optimization of a Condition-Based Maintenance Policy with Sustainability Requirements for Production System

Jiang

Tam

Lyu

2018

Mathematical Problems in Engineering

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In the field of condition-based maintenance, maintenance costs and system reliability criteria are the primary considerations for traditional maintenance management. These methods lack consideration of the environmental impact caused by equipment degradation, such as excessive emissions and energy consumption. In addition, because equipment degradation has various impacts on the ecological environment, companies with excessive emissions and energy consumption can receive huge fines, making it of great value to study ecoconscious maintenance strategies. In this paper, we propose a condition-based maintenance strategy considering energy consumption and carbon dioxide emissions. The major objective of the research is to extend a model which integrates ecological aspects with maintenance decision-making and optimization. The simulation and sensitivity analyses conducted verify that the model proposed can minimize total costs, as well as the environmental impact.

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Section: Literature Reviewmentioning

confidence: 99%

Development and Optimization of a Condition-Based Maintenance Policy with Sustainability Requirements for Production System

Jiang

Tam

Lyu

2018

Mathematical Problems in Engineering

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“…[17] reviews briefly the role of maintenance and testing activities to achieve appropriate levels of reliability, availability and safety of safety related equipment at NPP. It illustrates basic concepts in relation to natural reliability, reliability degradation (e.g.…”

Section: Effectiveness Of Maintenance and Testingmentioning

confidence: 99%

“…[17] introduces ongoing programs and others being considered for implementation at NPPs. They can be grouped into two different groups, one that focuses on the improvement of licensing basis and the other that A common objective of all these programs is to allow reaching and keeping the most reliable, available and safe operation of NPP along it design life and beyond, if required, by means of implementing high effectiveness maintenance and testing activities.…”

Section: Npp Programs For Improving Effectiveness Of Maintenance and mentioning

confidence: 99%

“…Again, assuming the time a component is out of service for maintenance is negligible as compared to the time between two consecutive maintenance activities, the evolution of the age of the component in the period m+1, between m and m +1 maintenance activities, is given by the following equation under the PAS model [17]:…”

Section: Proportional Age Setback Based Ageing and Reliability Modelsmentioning

confidence: 99%

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Ageing PSA incorporating effectiveness of maintenance and testing

Martón¹,

Sánchez²,

Martorell³

2015

Reliability Engineering & System Safety

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This paper proposes a new approach to Ageing Probabilistic Safety Assessment (APSA) modelling, which is intended to be used to support risk-informed decisions on the effectiveness of maintenance management programs and technical specification requirements of critical equipment of Nuclear Power Plants (NPP) within the framework of the Risk Informed Decision Making according to R.G. 1.174 principles. This approach focuses on the incorporation of not only equipment ageing but also effectiveness of maintenance and efficiency of surveillance testing explicitly into APSA models and data. An example of application is presented, which centers on a critical safety-related equipment of a NPP in order to evaluate the risk impact of considering different approaches to APSA and the combined effect of equipment ageing and maintenance and testing alternatives along NPP design life. The risk impact of the several alternatives is quantified and the results shows that such risk depends largely on the model parameters, such as ageing factor, maintenance effectiveness, test efficiency.

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“…Various mathematical models focusing on coordinating production and maintenance plans are proposed in (Lin et al, 1992;Gurevich et al, 1996;Agogino et al, 1997;Ben-Daya and Rahim, 2000;El-Amin et al, 2000;Kiyoshi et al, 2002;Chattopadhyay, 2004;Martorell et al, 2005;Aghezzaf et al, 2007;Dahal and Chakpitak, 2007;El-Ferik, 2008;Fitouhi and Nourelfath, 2012;Wang, 2013). A wide variety of solution techniques and algorithms including the whole spectrum of heuristic techniques, dynamic programming, tabusearch multi-objective optimization, expert systems and many other hybrid techniques are also proposed, see for example (Lin et al, 1992;Gurevich et al, 1996;Agogino et al, 1997;Ben-Daya and Rahim, 2000;Kiyoshi et al, 2002;Chattopadhyay, 2004;Martorell et al, 2005;Dahal and Chakpitak, 2007). Integrated production and imperfect preventive maintenance planning models were also proposed, see for example (Chung and Krajewski, 1984;Ben-Daya and Rahim, 2000;Sana and Chaudhuri, 2010;Fitouhi and Nourelfath, 2012;Aghezzaf et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Integrated Production and Imperfect Preventive Maintenance Planning - An Effective MILP-based Relax-and-Fix/Fix-and-Optimize Method

Tam

Aghezzaf

Khatab³

et al. 2017

Proceedings of the 6th International Conference on Operations Research and Enterprise Systems

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Abstract:This paper investigates the integrated production and imperfect preventive maintenance planning problem. The main objective is to determine an optimal combined production and maintenance strategy that concurrently minimizes production as well as maintenance costs during a given finite planning horizon. To enhance the quality of the solution and improve the computational time, we reconsider the reformulation of the problem proposed in (Aghezzaf et al., 2016) and then solved it with an effective MILP-based Relax-and-Fix/Fix-andOptimize method (RFFO). The results of this Relax-and-Fix/Fix-and-Optimize technique were also compared to those obtained by a Dantzig-Wolfe Decomposition (DWD) technique applied to this same reformulation of the problem. The results of this analysis show that the RFFO technique provides quite good solutions to the test problems with a noticeable improvement in computational time. DWD on the other hand exhibits a good improvement in terms of computational times, however, the quality of the solution still requires some more improvements.

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RAMS+C informed decision-making with application to multi-objective optimization of technical specifications and maintenance using genetic algorithms

Cited by 99 publications

References 14 publications

Development and Optimization of a Condition-Based Maintenance Policy with Sustainability Requirements for Production System

Development and Optimization of a Condition-Based Maintenance Policy with Sustainability Requirements for Production System

Ageing PSA incorporating effectiveness of maintenance and testing

Integrated Production and Imperfect Preventive Maintenance Planning - An Effective MILP-based Relax-and-Fix/Fix-and-Optimize Method

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