Review, analysis and synthesis of prognostic-based decision support methods for condition based maintenance

In manufacturing enterprises, maintenance is a significant contributor to the total company’s cost. Condition based maintenance (CBM) relies on prognostic models and uses them to support maintenance decisions based on the predicted condition of equipment. Although prognostic-based decision support f...

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Bibliographic Details
Published in:Journal of intelligent manufacturing 2018-08, Vol.29 (6), p.1303-1316
Main Authors: Bousdekis, Alexandros, Magoutas, Babis, Apostolou, Dimitris, Mentzas, Gregoris
Format: Article
Language:English
Subjects:
Breakdowns
Business and Management
Control
Decision analysis
Decision making
Decision support systems
Identification methods
Literature reviews
Machines
Manufacturing
Manufacturing industry
Mechatronics
Predictive maintenance
Preventive maintenance
Processes
Production
Robotics
Sensors
Signal processing
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Summary:In manufacturing enterprises, maintenance is a significant contributor to the total company’s cost. Condition based maintenance (CBM) relies on prognostic models and uses them to support maintenance decisions based on the predicted condition of equipment. Although prognostic-based decision support for CBM is not an extensively explored area, there exist methods which have been developed in order to deal with specific challenges such as the need to cope with real-time information, to predict the health state of equipment and to continuously update maintenance-related recommendations. The current work aims at providing a literature review for prognostic-based decision support methods for CBM. We analyse the literature in order to identify combinations of methods for prognostic-based decision support for CBM, propose a practical technique for selecting suitable combinations of methods and set the guidelines for future research.
ISSN:0956-5515
1572-8145
DOI:10.1007/s10845-015-1179-5