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.
Galante Giacomo Maria, ., La Fata Concetta Manuela, (2018). Combined Fuzzy TOPSIS and AHP-based Methodology for the Prioritization of Maintenance Key Performance Indicators: Application to an Oil Refinery Plant. In Proceedings - 2017 2nd International Conference on System Reliability and Safety (ICSRS 2017) (pp. 337-342) [10.1109/ICSRS.2017.8272845].
Combined Fuzzy TOPSIS and AHP-based Methodology for the Prioritization of Maintenance Key Performance Indicators: Application to an Oil Refinery Plant
Galante Giacomo Maria;La Fata Concetta Manuela
2018-02-01
Abstract
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.File | Dimensione | Formato | |
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