Maintenance management: a review

Authors

  • Juan Gonzalo Ardila Marín ITM
  • María Isabel Ardila Marín Institución Universitaria Pascual Bravo
  • David Rodríguez Gaviria Institución Universitaria Pascual Bravo
  • Diego Andrés Hincapié Zuluaga ITM

DOI:

https://doi.org/10.15665/rde.v14i2.480

Keywords:

Total Quality Management (TQM), (Just in time) JIT, total productive maintenance (TPM), Reliability Centered Maintenance (RCM), Computerized maintenance management system (CMMS)

Abstract

This article presents a review of state of the art about maintenance management, identifying problems faced by researchers in the field, the methodologies applied and results achieved; it became a contextualization of issues being addressed in the field and research trends in maintenance management were identified. With the search was considered as the main topic of interest, design, implementation and use of Computerized Maintenance Management Systems - CMMS as a tool for optimizing management of physical assets, which is left open the need for research in this area, looking applications that provide solutions to productive sector requirements to contribute to their competitiveness.

Author Biographies

Juan Gonzalo Ardila Marín, ITM

Docente Tiempo Completo

Facultad de Ingenierías

María Isabel Ardila Marín, Institución Universitaria Pascual Bravo

Docente Tiempo Completo

Facultad de Ingenierías

David Rodríguez Gaviria, Institución Universitaria Pascual Bravo

Estudiante

Facultad de Ingenierías

Diego Andrés Hincapié Zuluaga, ITM

Docente Tiempo Completo

Facultad de Ingenierías

References

Abreu, J., Ventura Martins, P., Fernandes, S., & Zacarias, M. (2013). Business Processes Improvement on Maintennce Management: a Case study. Procedia Technology, 320-330.

AIDT. (2006). JUST-IN-TIME MANUFACTURING. AIDT.

Alkali, B., Bedford, T., Quigley, J., & Gaw, J. (2009). Failure andmaintenancedataextractionfrompowerplantmaintenance. Journal ofStatisticalPlanningandInference, 1766-1776.

Bueno Espındola, D., Fumagall, L., Garetti, M., Pereira, C. E., Botelho, S. S., & Ventura Henriques, R. (2013). A model-based approach for data integration to improve maintenance. Computers in Industry, 376-391.

Cadick Corporation. (2001). http://www.mainsaver.com/. Obtenido de What is Reliability Centered Maintenance?: http://www.mainsaver.com/pdf/Reliability_Centered_Maintenance_White_Paper.pdf

Canales, A., Pacheco, P., & Sarno S., E. (2006). Modelo Gerencial de Mantenimiento. Reliability World 2006. Obtenido de http://valbuenamantenimient.galeon.com/Gerencia.pdf

Cerrada, M., Cardillo, j., & Aguilar, J. (2007). AGENT-BASED MAINTENANCE MANAGEMENT SYSTEM FOR THE DISTRIBUTED FAULT TOLERANCE. IFAC Fault Detection, Supervision and Safety of Technical Processes, 938-943.

Chen, Y.-C. (2001). Empirical modelling for participative business process reengineering. University of Warwick.

Crespo Marquez, A., & Gupta, J. N. (2006). Contemporary maintenance management: process, framework and. Omega, 313-326.

Di Sivo, M., & Ladiana, D. (2011). Decision-support tools for municipal infrastructure maintenance management. Procedia Computer Science, 36-41.

Durán, O. (2011). Computer-aided maintenance management systems selection based on a fuzzy AHP. Advances in Engineering Software, 821–829.

Duthie, J. C., Robertson, M. I., Clayton, A. M., & Lidbury, D. P. (1998). Risk-based approaches to ageing and maintenance management. Nuclear Engineering and Design, 27-38.

Ericson, C. (2000). http://www.thecourse-pm.com/. Obtenido de http://www.thecourse-pm.com/Library/: http://www.thecourse-pm.com/Library/FaultTreeAnalysis2.pdf

Eti, M. C., Ogaji, S. O., & Probert, S. D. (2006). Strategic maintenance-management in. Applied Energy, 211-227.

Falatoonitoosi, E., Leman, Z., Sorooshian, S., & Salimi, M. (2013). Decision-Making Trial and Evaluation Laboratory. Research Journal of Applied Sciences, Engineering and Technology, 3476-3480.

Figueira, J., Greco, S., & Ehrgott, M. (2003). MULTIPLE CRITERIA DECISION ANALYSIS: STATE OF THE ART SURVEYS. Boston/Dordrecht/London: Kluwer Academic Publishers.

Gabbar, H. A., Suzuki, K., & Shimada, Y. (2001). Design considerations of computer-aided RCM-based plant maintenance. European Symposium on Computer Aided Process Engineering, 859 - 864.

Gabbar, H., Yamashita, H., Suzuki, K., & Shimada, Y. (2003). Computer-aided RCM-based plant maintenance management system. Robotics and Computer Integrated Manufacturing, 449-458.

George, S., & Weimerskirch, A. (1998). Total Quality Management: Strategies and Techniques Proven at Today's Most Successful Companies. John Wiley & Sons, Inc.

Giguère, J.-D. (2010). Improvement of multicriteria analysis tools in GRASS. 2010 Google Summer of Code. Obtenido de http://grasswiki.osgeo.org/wiki/MCDA_in_GRASS

Godot, V. S. (1998). IMPLEMENTATION OF A COMPUTERIZED MAINTENANCE. Engineering Information Abstracts, 959-961.

Gomez Fernarndez, j. f., & Crespo Márquez, A. (2009). Framework for implementation of maintenance management in distribution network service providers. Reliability Engineering and System Safety , 1639–1649.

Hall, J., Biles, W., & Leach, J. (1995). AN AUTOCAD-12 BASED MAINTENANCE MANAGEMENT SYSTEM FOR MANUFACTURING. Computers ind. Engng, 29(1-4), 285-289.

Hassanain, M. A., Froese, T. M., & Vanier, D. J. (2001). Development of a mainteance management model basedon IAI standards. Artificial Intelligence in Engineering, 177-193.

Hipkin, I. B., & De Cock, C. (2000). TQM and BPR: lessons for maintenance management. Omega, 277-292.

Howard, D. (2003). THE BASICS OF STATISTICAL PROCESS CONTROL & PROCESS BEHAVIOUR CHARTING A User’s Guide to SPC. England: Management-NewStyle.

ISO. (2015). International Organization for Standardization. Obtenido de Standards: http://www.iso.org/iso/home/standards.htm

Kans, M. (2008). An approach for determining the requirements of computerised. Computers in Industry, 32–40.

Keller, W., & Modarres, M. (2005). A historical overview of probabilistic risk assessment development and its use in the nuclear power industry: a tribute to the late Professor Norman Carl Rasmussen. Reliability Engineering & System Safety, 271-285.

Kesler, G., & Kates, A. (2010). Leading Organization Design: How to Make Organization Design Decisions to Drive the Results You Want. Jossey-Bass a Wiley brand.

Kwon, S.-H., Chun, C., & Kwak, R.-Y. (2011). Relationship between quality of building maintenance management services for indoor environmental quality and occupant satisfaction. Building and Environment, 2179-2185.

Lin, Cheung, Siao, Y.-C.-F.-C. (2014). Developing mobile 2D barcode/RFID-based maintenance. Automation in Construction, 110–121.

Maarten, K. (2002). Risk Based Inspection in the Process and Refining Industry. Delft, The Netherlands: Technical University of Delft.

Macchi, M., Garetti, M., Centrone, D., Fumagalli, L., & Piero Pavirani , G. (2012). Maintenance management of railway infrastructures based on reliability analysis. Reliability Engineering and System Safety, 71-83.

Marshall Institute. (26 de Apr de 2010). Marshall Institute's Blog. Obtenido de A Quick History of Total Productive Maintenance: http://info.marshallinstitute.com/bid/39139/A-Quick-History-of-Total-Productive-Maintenance

Meneses, S., & Ferreira, A. (2012). New optimization model for road network maintenance management. Procedia - Social and Behavioral Sciences, 956-965.

O’Donoghue, C., & Prendergast, J. (2004). Implementation and benefits of introducing a computerised maintenance. Journal of Materials Processing Technology, 226–232.

Pantic, M. (2005). Introduction to Machine Learning & Case-Based Reasoning. London: Imperial College London.

Park, J., & Hong, T. (2011). Maintenance management process for reducing CO2 emission in shopping mall complexes. Energy and Buildings, 894-904.

Potes Ruiz, P. A., Kamsu-Foguem, B., & Noyes, D. (2013). Knowledge reuse integrating the collaboration from experts in industrial. Knowledge-Based Systems, 171-186.

Product Quality Research Institute. (2015). http://www.pqri.org/. Obtenido de http://www.pqri.org/pdfs/mtc/hazop_training_guide: http://www.pqri.org/pdfs/mtc/hazop_training_guide.pdf

Saaty, T. (2008). Decision making with the analytic hierarchy process. Int. J. Services Sciences, 83-98.

Smets, P. (1996). The transferable belief model for quantified belief representation. En A. d. BELON, TBM/Hdbk.

Stamm, M., Neitzert, T., & Singh, D. (2010). http://aut.researchgateway.ac.nz/. Obtenido de TQM, TPM, TOC, Lean and Six Sigma – Evolution of manufacturing methodologies under the paradigm shift from Taylorism/Fordism to Toyotism?: http://aut.researchgateway.ac.nz/bitstream/handle/10292/3858/Stamm%20Evolution%20of%20manufacturing%20paradigms.pdf?sequence=2

Streichfuss, M., & Burgwinkel, P. (1995). AN EXPERT-SYSTEM-BASED MACHINE MONITORING AND MAINTENANCE MANAGEMENT SYSTEM. Control Eng. Practice, Vol. 3, 1023-1027.

Swanson, L. (1997). An empirical study of the relationship between production technology and maintenance management. international journal of production economic, 191-207.

Swanson, L. (2003). An information-processing model of maintenance management. Int. J. Production Economics, 45–64.

T. Luxhej, J., O. Riis, J., & Thorsteinsson,, U. (1997). Trends and Perspectives in Industrial. Journal of Manufacturing Systems, vol 16(6).

U.S. Department of Energy. (2010). Operations & Maintenance Best Practices Guide. U.S. Department of Energy.

Ucalgary. (2015). http://www.ucalgary.ca/. Obtenido de http://people.ucalgary.ca/: http://people.ucalgary.ca/~design/engg251/First%20Year%20Files/fmea.pdf

van Harmelen, F., Lifschitz, V., & Porter, B. (2008). Handbook of Knowledge Representation. Elsevier.

Vujanovic, D., Momcilovic, V., Bojovic, N., & Papic, V. (2012). Evaluation of vehicle fleet maintenance management indicators by application of DEMATEL and ANP. Expert Systems with Applications, 10552-10563.

Vujanovic´, D., Momcilovic, V., Bojovic, N., & Papic, V. (2012). Evaluation of vehicle fleet maintenance management indicators by application of DEMATEL and ANP. Expert Systems with Applications, 10552-10563.

Xiao, Z., Chen, L., & Zhong, B. (2010). A model based on rough set theory combined with algebraic structure and its. Expert Systems with Applications, 5295–5299.

Yin, Z.-h., Li, Y.-f., Guo, J., & Li, Y. (2011). Integration Research and Design of the Bridge Maintenance Management System. Procedia Engineering, 5429-5434.

Zawawi, E. M., Kamaruzzaman, S. N., Ithnin, Z., & Zulkarnain, S. H. (2011). A Conceptual Framework for Describing CSF of Building Maintenance Management. Procedia Engineering, 110-117.

Zhang, L. (2010). Comparison of classical analytic hierarchy process (ahp) approach and fuzzy ahp approach in multiple-criteria decision making for commercial vehicle information systems and networks (cvisn) project. Nebraska-Lincoln: University of Nebraska - Lincoln.

Zhou, W.-H., & Zhu, G.-L. (2008). Economic design of integrated model of control chart and. Mathematical and Computer Modelling, 1389-1395.

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Published

2016-06-20

How to Cite

Ardila Marín, J. G., Ardila Marín, M. I., Rodríguez Gaviria, D., & Hincapié Zuluaga, D. A. (2016). Maintenance management: a review. Dimensión Empresarial, 14(2), 129-144. https://doi.org/10.15665/rde.v14i2.480

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Section

RESEARCH RESULTS ARTICLES