Maio 2020 vol. 3 num. 1 - XIX Simpósio de Pesquisa Operacional & Logística da Marinha

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A STUDY ON MAINTENANCE TASK INTERVAL OPTIMIZATION BY METAHEURISTICS

A STUDY ON MAINTENANCE TASK INTERVAL OPTIMIZATION BY METAHEURISTICS

Mata Filho, José Nogueira da ; Abrahão, Fernando Teixeira Mendes ;

Artigo Completo:

The maintenance is considered one of the strategic factors for a complex system's high productivity. In the aeronautical industry, the system's safe operation, availability, and costs are directly affected by the maintenance strategy established during the product development phase. Hence, the maintenance analysis needs to be effective in assuring that the product will achieve the required operational performance. The Reliability-Centered Maintenance (RCM) analysis applicable to aircraft systems provides a well-defined logic and rules to evaluate the consequences of the system functional failures and to define the tasks that are applicable and effective, based on the failure cause characteristics. However, it is not enough to perform an accurate assessment of the task interval and its effectiveness. Thus, additional guidelines and a multi-objective model to support the optimization of the maintenance task intervals are worthwhile. This paper develops a model for a problem frequently encountered during the maintenance analysis and evaluates the use of different meta-heuristics to define the best allocation of the maintenance task interval, aiming to minimize the system maintenance cost without compromising the system safety requirements. As an example, it is considered a system comprised of four components, including a dual redundancy and hidden failures. The optimization algorithm considers the minimum and maximum allowable intervals for each item, and other relevant factors, such as the preventive and corrective maintenance costs, as well as, the probability of system total failure. Future research will analyze the influences of aircraft fleet profiles and the use of prognostic health systems in maintenance optimization.

Artigo Completo:

The maintenance is considered one of the strategic factors for a complex system's high productivity. In the aeronautical industry, the system's safe operation, availability, and costs are directly affected by the maintenance strategy established during the product development phase. Hence, the maintenance analysis needs to be effective in assuring that the product will achieve the required operational performance. The Reliability-Centered Maintenance (RCM) analysis applicable to aircraft systems provides a well-defined logic and rules to evaluate the consequences of the system functional failures and to define the tasks that are applicable and effective, based on the failure cause characteristics. However, it is not enough to perform an accurate assessment of the task interval and its effectiveness. Thus, additional guidelines and a multi-objective model to support the optimization of the maintenance task intervals are worthwhile. This paper develops a model for a problem frequently encountered during the maintenance analysis and evaluates the use of different meta-heuristics to define the best allocation of the maintenance task interval, aiming to minimize the system maintenance cost without compromising the system safety requirements. As an example, it is considered a system comprised of four components, including a dual redundancy and hidden failures. The optimization algorithm considers the minimum and maximum allowable intervals for each item, and other relevant factors, such as the preventive and corrective maintenance costs, as well as, the probability of system total failure. Future research will analyze the influences of aircraft fleet profiles and the use of prognostic health systems in maintenance optimization.

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Palavras-chave: Complex Aerospace Systems; Integrated Logistic Support; Reliability Centered Maintenance; MSG-3; Safety Assessment; e-Maintenance; Metaheuristic.,

Palavras-chave: Complex Aerospace Systems; Integrated Logistic Support; Reliability Centered Maintenance; MSG-3; Safety Assessment; e-Maintenance; Metaheuristic.,

DOI: 10.5151/spolm2019-011

Referências bibliográficas
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Como citar:

Mata Filho, José Nogueira da; Abrahão, Fernando Teixeira Mendes; "A STUDY ON MAINTENANCE TASK INTERVAL OPTIMIZATION BY METAHEURISTICS", p. 137-151 . In: Anais do XIX Simpósio de Pesquisa Operacional & Logística da Marinha. São Paulo: Blucher, 2020.
ISSN 2175-6295, DOI 10.5151/spolm2019-011

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