New Challenges and Opportunities in Reliability and Risk Based Optimization

Martorell, Sebastián; Villamizar, Maryory; Martón, Isabel; Sánchez, Ana Isabel; Alberola, Sofía Carlos

doi:10.1007/978-3-319-11541-2_28

Cited by 1 publication

(1 citation statement)

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“…problem formulation, choice of reliability or safety methods, and optimization techniques) is not an easy question. Many efforts and advances within the field of MOO for risk, reliability, and costs have been performed, in several application areas as for instance presented in Rocchetta et al 9 and Martorell et al 10 However, within the aircraft design, no general framework has been found regarding how to handle trade-offs between safety, reliability, and other performance parameters in early design phases. An attempt at finding a general approach capable in practice of investigating trade-offs and achieving several targets such as low costs, high reliability, low accident risks, and low weight is shown in Johansson et al 11 This approach combines the classical techniques for system safety and reliability analysis with optimization methods, using a staged process.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization for safety and reliability trade-off: Optimization and results processing

Johansson

Ölvander

Derelöv

2018

Proceedings of the Institution of Mechanical Engineers, Part O:

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In early design phases, it is vital to be able to screen the design space for a set of promising design alternatives for further study. This article presents a method able to balance several objectives of different mathematical natures, with high impact on the design choices. The method (MOSART) handles multi-objective optimization for safety and reliability trade-offs. The article focuses on optimization problem approach and processing of results as a base for decision-making. The output of the optimization step is the selection of specific system elements obtaining the best balance between the targets. However, what is a good base for decision can easily transform into too much information and overloading of the decision-maker. To solve this potential issue, from a set of Pareto optimal solutions, a smaller subset of selected solutions are visualized and filtered out using preference levels of the objectives, yielding a solid base for decision-making and valuable information on potential solutions. Trends were observed regarding each system element and discussed while processing the results of the analysis, supporting the decision of one final best solution.

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Section: Introductionmentioning

confidence: 99%