The evolution of system reliability optimization

Coit, David W.; Zio, Enrico

doi:10.1016/j.ress.2018.09.008

Cited by 139 publications

(61 citation statements)

References 94 publications

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“…This combination of system modeling and security attributes is a feature we find helpful for our analysis. Furthermore, significant research has also been conducted on reliability optimization [29]. However, we consider an optimization at the supply chain frontier, which takes into account the underlying system interconnections and the resulting risk.…”

Section: A Related Workmentioning

confidence: 99%

I-SCRAM: A Framework for IoT Supply Chain Risk Analysis and Mitigation Decisions

2021

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Supply chain security is becoming an important factor in security risk analysis for modern information and communication technology (ICT) systems. As Internet of Things (IoT) devices proliferate and get adopted into critical infrastructure, the role of suppliers in risk assessment becomes all the more significant. IoT security risks are affected by supplier trust since suppliers possess the capacity to modify black box systems without detection. The risks posed by potentially malicious or compromised suppliers are compounded by interdependence among suppliers. In this paper, we propose I-SCRAM, a framework to analyze supply chain risks in IoT systems and to support risk mitigating decisions. After defining an expanded system model that consists of interconnected components and a hierarchy of component vendors, we develop and propose metrics to quantify systemic risks. Finally, we present a decision framework that helps in selection of vendors to mitigate supply chain risk. Through a case study and simulation, we show that I-SCRAM successfully minimizes system risk as higher budget and more reliable component sources become available, while allowing flexibility in prioritizing sources of risk. INDEX TERMS Attack tree, supply chain risk management, Internet of things, Birnbaum structural importance, component importance, risk mitigation.

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Section: A Related Workmentioning

confidence: 99%

I-SCRAM: A Framework for IoT Supply Chain Risk Analysis and Mitigation Decisions

2021

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“…Therefore, several techniques to try to find the solution to improve have been developed in the last decades, although proving that the solution found is the most optimized is not always easy or possible [7]. The most commonly used optimization techniques include: dynamic programming, integral programming, integral-mixed and non-linear programming and heuristics [8,7,9]. A literature review on the problem is presented by Ramirez-Marquez et al [7] and Coit et al [8].…”

Section: Reliability Analysis Through Reliability Block Diagrammentioning

confidence: 99%

Reliability and redundancy allocation analysis applied to a nuclear protection system

Busse

Moreira

2021

Braz. J. Rad. Sci.

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Brazil is constructing with national technology two small nuclear reactors for propulsion and for radioisotope production with thermal power levels between 20 and 50 MW. These nuclear reactors fit more in the class of small modular reactors (SMR) than in the class of large nuclear power plants. In this article we apply the design approach of SMRs to propose an architecture of reactor protection systems for the small reactor under construction in the country. To do that the probabilistic analysis of the architecture of a nuclear reactor protection system is evaluated to determine the sensitivity of the components through an Reliability Block Diagram modeling. It was evaluated the modification of the architecture and the addition of redundancies when using components with lower life time than the components usually used for this purpose. The results showed that after one year of operation, the reference RPS system presents a failure probability of 0.17 %. The modified system, with components with lower life time, presents a point reliability value only 0.070 % lower than the reference one, but this difference grows exponentially over time, and in 10 years of operation it can reach values above 95%. Using equipment with lower life time characteristics implies a greater number of redundancies and, additionally, a greater number of maintenance procedures and spare parts. Therefore, this technical feasibility analysis should consider a RAM simulation as well.

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“…Despite the technological advancements over time, the demand for highly reliable and performing systems has increased due to the complexity of modern systems [18,19]. Reliability of a component/system plays a key role during the MMEL development process as it helps to analyse and predict possible failure causes through the application of engineering knowledge [19].…”

Section: Reliabilitymentioning

confidence: 99%

Development of the Minimum Equipment List: Current Practice and the Need for Standardisation

2020

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As part of the airworthiness requirements, an aircraft cannot be dispatched with an inoperative equipment or system unless this is allowed by the Minimum Equipment List (MEL) under any applicable conditions. Commonly, the MEL mirrors the Master MEL (MMEL), which is developed by the manufacturer and approved by the regulator. However, the increasing complexity of aircraft systems and the diversity of operational requirements, environmental conditions, fleet configuration, etc. necessitates a tailored approach to developing the MEL. While it is the responsibility of every aircraft operator to ensure the airworthiness of their aircraft, regulators are also required to publish guidelines to help operators develop their MELs. Currently, there is no approved standard to develop a MEL, and this poses a challenge to both aviation regulators and aircraft operators. This paper reviews current MEL literature, standards and processes as well as MEL related accidents/incidents to offer an overview of the present state of the MEL development and use and reinstate the need for a systematic approach. Furthermore, this paper exposes the paucity of MEL related literature and the ambiguity in MEL regulations. In addition, it was found that inadequate training and guidance on the development and use of MEL as well as lack of prior experience in airworthiness topics can lead to mismanagement and misapplication of the MEL. Considering the challenges outlined above, this study proposes the combination of system engineering and socio-technical system approaches for the development of a MEL.

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The evolution of system reliability optimization

Cited by 139 publications

References 94 publications

I-SCRAM: A Framework for IoT Supply Chain Risk Analysis and Mitigation Decisions

I-SCRAM: A Framework for IoT Supply Chain Risk Analysis and Mitigation Decisions

Reliability and redundancy allocation analysis applied to a nuclear protection system

Development of the Minimum Equipment List: Current Practice and the Need for Standardisation

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