Multi-criteria Analysis of Maintenance Management Performance Indicators

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorde Oliveira, Vania Aparecida Rosario-
Autor(es): dc.creatorde Oliveira, Geraldo César Rosario-
Autor(es): dc.creatorPamplona Salomon, Valerio Antonio-
Data de aceite: dc.date.accessioned2025-08-21T22:03:02Z-
Data de disponibilização: dc.date.available2025-08-21T22:03:02Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2022-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/978-3-031-36121-0_6-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/304124-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/304124-
Descrição: dc.descriptionMulti-criteria decision analysis (MCDA) has been widely applied in the most diverse problems and areas of knowledge. Among these applications, we observe the growth in their use related to studies on performance indicators. Performance indicators should provide reliable data on the activities measured and their current position in relation to goals and policies previously established by organizations. Establishing a set of performance indicators for functional areas of organizations allows for better achievement of investments and resources. Among these areas, maintenance management has assumed an important role and has become fundamental for asset management. Measurement of maintenance performance is a complex process that involves several indicators with multiple criteria and different levels. Therefore, it can be formulated as a multi-criteria decision problem. In this context, performance indicators, maintenance management, and MCDA have grown interesting the last few years. However, few research combines these three themes, simultaneously. First, this chapter presents the evolution of publications on maintenance management, multi-criteria analysis, and performance indicators. Then,we identify performance indicators adopted by a real-world company. These performance indicators are aligned with the literature on industrial maintenance. We applied Analytic Hierarchy Process (AHP) to find the weights of each indicator for the maintenance management process, and we applied the Technique of Order Preference for Similarity to the Ideal Solution (TOPSIS) to choose the best productive units based on data collected from indicators in the real-world company.-
Descrição: dc.descriptionUniversidade Estadual Paulista (UNESP), Av. Ariberto Pereira da Cunha, 333, CEP, SP-
Descrição: dc.descriptionUniversidade Estadual Paulista (UNESP), Av. Ariberto Pereira da Cunha, 333, CEP, SP-
Formato: dc.format47-58-
Idioma: dc.languageen-
Relação: dc.relationProceedings of the 11th International Conference on Production Research – Americas: Icpr Americas 2022-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectAHP-
Palavras-chave: dc.subjectIndustrial Maintenance-
Palavras-chave: dc.subjectMCDA-
Palavras-chave: dc.subjectPerformance Indicators-
Palavras-chave: dc.subjectTOPSIS-
Título: dc.titleMulti-criteria Analysis of Maintenance Management Performance Indicators-
Tipo de arquivo: dc.typelivro digital-
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