6533b7d9fe1ef96bd126d36a

RESEARCH PRODUCT

Structured methodology for selection of maintenance key performance indicators: Application to an oil refinery plant

A. FangucciG. M. GalanteR. InghilleriConcetta Manuela La Fata

subject

Settore ING-IND/17 - Impianti Industriali MeccaniciMaintenance Key Performance Indicators (MKPIs) Hierarchical Framework AHP Incomplete Pair-Wise Comparison Matrices Mathematical Programming MKPIs Selection

description

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.

yearjournalcountryeditionlanguage
2017-01-01
http://hdl.handle.net/10447/239002