Abstract
This paper presents a case for practical application of the GAMM method, which has been developed and published by the authors (Barberá L., Crespo A. and Viveros P). The GAMM method supports decision-making in the overall maintenance management through the visualization and graphical analysis of data. In addition, it allows for the identification of anomalous behavior in the equipment analyzed, whether derived from its own operations, maintenance activities, improper use of equipment or even as a result of design errors in the equipment itself. As a basis for analysis, the GAMM method uses a nonparametric estimator of the reliability function using all historical data or, alternatively, part of the history, allowing it to perform an analysis even with limited available data. In the case study developed, GAMM has been used to analyze two slurry pumps in a mining plant located in Chile. Both pumps are part of the same industrial process, which is described in Sect. 3, and both pumps had a higher failure rate but one more than the other. GAMM identified deficiencies in each of the pumps being studied, thus improving decision-making and problem solving process related to the maintenance of the pumps. Particularly, this work initially provides a description of the GAMM method (Sect. 1), and, afterwards, it is depicted with special attention the approach to the problem (Sect. 2). In Sect. 3, a background of the industrial context is presented. Then, Sect. 4 shows step by step the application of GAMM Method. Finally, results and conclusions are presented in Sect. 5 where the main improvements obtained are summarized.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Birolini A (2007) Reliability engineering, 5th edn. Springer, Berlin. ISBN 978-3-540-49388-4
Barberá L, Crespo A, Viveros P, Stegmaier R (2012) Advanced model for maintenance management in a continuous improvement cycle: integration into the business strategy. Int J Syst Assur Eng Manag (Jan–Mar 2012) 3(1):47–63. doi:10.1007/s13198-012-0092-y
Crespo Márquez A, Gupta J (2006) Contemporary maintenance management. Process, framework and supporting pillars. Omega. Int J Manag Sci 34(3):325–338. doi:10.1016/j.omega.2004.11.003
Barberá L, Crespo A, Viveros P, Arata A (2012) The graphical analysis for maintenance management method: a quantitative graphical analysis to support maintenance management decision making. J Qual Reliab Eng Int, Copyright © 2012 Wiley, USA (wileyonlinelibrary.com) doi:10.1002/qre.1296
Nelson W (1969) Hazard plotting for incomplete failure data. J Qual Technol 1:27–52
Rausand M, Hoyland A (2004) System reliability theory: models, statistical methods, and applications. Wiley-Interscience, USA, 644 p
Moubray J (1997) Reliability centred maintenance: RCM II. 2nd Ed. Industrial Press, USA
Acknowledgements
This research is funded by the Spanish Ministry of Science and Innovation, Project EMAINSYS (DPI2011-22806) “Sistemas Inteligentes de Mantenimiento.” Procesos emergentes de E-maintenance para la Sostenibilidad de los Sistemas de Producción, besides FEDER funds. The research work was performed within the context of iMaPla (Integrated Maintenance Planning), an EU-sponsored project by the Marie Curie Action for International research Staff Exchange Scheme (project acronym PIRSES-GA-2008-230814 iMaPla).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this chapter
Cite this chapter
Barberá Martínez, L., Crespo Márquez, A., Viveros Gunckel, P., Stegmaier, R. (2018). Case Study of Graphical Analysis for Maintenance Management. In: Crespo Márquez, A., González-Prida Díaz, V., Gómez Fernández, J. (eds) Advanced Maintenance Modelling for Asset Management. Springer, Cham. https://doi.org/10.1007/978-3-319-58045-6_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-58045-6_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-58044-9
Online ISBN: 978-3-319-58045-6
eBook Packages: EngineeringEngineering (R0)