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EnglishThe novel contribution of the work is the proposal of a structured multi-step methodology that may support the Decision Maker (DM) in the measurement of maintenance performance by means of Maintenance Key Performance Indicators (MKPIs). To this aim, a multi-level hierarchical framework able to synthesize the most meaningful aspects affecting the maintenance results is designed. Then, MKPIs are selected from the literature, assigned to the hierarchical framework and ranked by an Analytic Hierarchy Process-based approach with incomplete comparison matrices. A mathematical model is finally formulated to select the optimal set of MKPIs. The methodology is implemented in an oil refinery plant and entirely designed with the subject company maintenance staff.
Fangucci, A., Galante, G., Inghilleri, R., & LA FATA, C. (2017). Structured methodology for selection of maintenance key performance indicators: Application to an oil refinery plant. INTERNATIONAL JOURNAL OF OPERATIONS AND QUANTITATIVE MANAGEMENT, 23(2), 89-113.
| Data di pubblicazione: | 2017 | |
| Titolo: | Structured methodology for selection of maintenance key performance indicators: Application to an oil refinery plant | |
| Autori: | ||
| Citazione: | Fangucci, A., Galante, G., Inghilleri, R., & LA FATA, C. (2017). Structured methodology for selection of maintenance key performance indicators: Application to an oil refinery plant. INTERNATIONAL JOURNAL OF OPERATIONS AND QUANTITATIVE MANAGEMENT, 23(2), 89-113. | |
| Rivista: | ||
| Abstract: | The novel contribution of the work is the proposal of a structured multi-step methodology that may support the Decision Maker (DM) in the measurement of maintenance performance by means of Maintenance Key Performance Indicators (MKPIs). To this aim, a multi-level hierarchical framework able to synthesize the most meaningful aspects affecting the maintenance results is designed. Then, MKPIs are selected from the literature, assigned to the hierarchical framework and ranked by an Analytic Hierarchy Process-based approach with incomplete comparison matrices. A mathematical model is finally formulated to select the optimal set of MKPIs. The methodology is implemented in an oil refinery plant and entirely designed with the subject company maintenance staff. | |
| URL: | http://ijoqm.org/papers/23-2-1-p.pdf | |
| Settore Scientifico Disciplinare: | Settore ING-IND/17 - Impianti Industriali Meccanici | |
| Appare nelle tipologie: | 1.01 Articolo in rivista |
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