Search results for "Maintenance Key Performance Indicator"

showing 4 items of 4 documents

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

2017

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 an…

Settore ING-IND/17 - Impianti Industriali MeccaniciMaintenance Key Performance Indicators (MKPIs) Hierarchical Framework AHP Incomplete Pair-Wise Comparison Matrices Mathematical Programming MKPIs Selection
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A hierarchical framework for the measurement of maintenance efficacy and efficiency using performance indicators

2014

Maintenance plays an important role in achieving the organizational goals so that the measurement of its effectiveness and efficiency has become an essential element of industrial strategy. In literature several Maintenance Key Performance Indicators (MKPIs) are proposed but none structured approach is suggested to select the best set of MKPIs able to synthetically describe a specific maintenance context. The paper proposes a structured methodology for the maintenance performance measurement by means of MKPIs. Firstly, a multi-level hierarchical framework able to synthesize the most meaningful perspectives affecting the performance of the maintenance process is designed. Successively, some …

Settore ING-IND/17 - Impianti Industriali MeccaniciMaintenance Key Performance IndicatorAnalytic Hierarchy Process
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Trattamento dell'incertezza epistemica nell'analisi affidabilistica

Fault Tree AnalysiFuzzy TopsisAHPPropagazione dell'incertezzaSettore ING-IND/17 - Impianti Industriali MeccaniciIncertezza epistemicaMaintenance Key Performance Indicators (MKPI)Incertezza epistemica; Propagazione dell'incertezza; Fault Tree Analysis; Teoria della possibilità; Teoria di Dempster-Shafer; Manutenzione preventiva; Maintenance Key Performance Indicators (MKPI); AHP; Fuzzy TopsisTeoria di Dempster-ShaferTeoria della possibilitàManutenzione preventiva
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Combined fuzzy TOPSIS and AHP-based methodology for the prioritization of maintenance key performance indicators: Application to an oil refinery plant

2017

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.

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 indicator2017 2nd International Conference on System Reliability and Safety (ICSRS)
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