6533b86ffe1ef96bd12cdd40

RESEARCH PRODUCT

Combined fuzzy TOPSIS and AHP-based methodology for the prioritization of maintenance key performance indicators: Application to an oil refinery plant

Galante Giacomo MariaLa Fata Concetta Manuela

subject

Keywords-maintenance key performance indicator0209 industrial biotechnologyOperations researchAHPComputer scienceProcess (engineering)Analytic hierarchy processContext (language use)prioritization02 engineering and technologyIdeal solutionMaintenance engineeringFuzzy logicfuzzy TOPSIS020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingPerformance measurementPerformance indicator

description

A Maintenance Performance Measurement model based on the use of Maintenance Key Performance Indicators (MKPIs) is proposed in the present paper. Referring to a specific industrial context, a multi-level hierarchical structure is firstly designed to highlight the most meaningful perspectives which affect the maintenance performance. Then, MKPIs selected from the literature or properly formulated to detail some particular perspective of the investigated maintenance process are assigned to the hierarchical framework and prioritized by a Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) and Analytic Hierarchy Process (AHP)-based approach.

yearjournalcountryeditionlanguage
2017-12-012017 2nd International Conference on System Reliability and Safety (ICSRS)
https://doi.org/10.1109/icsrs.2017.8272845