Significance of the Predictive Maintenance Strategies for SMEs

Mincho Hadjiski, Lyubka A. Doukovska, Stefan L. Kojnov, Vladimir V. Monov, Vassil G. Nikov

2014

Abstract

The predictive maintenance is key to long-term profitability of a company in the manufacturing sector it can have a big impact on the supply, quality and price. The main methods are Total Productive Maintenance (TPM) and Reliability Centered Maintenance (RCM) and they must satisfy the requirements of the various small and medium-sized enterprises (SMEs). The paper identifies the barriers to the implementation of TPM within SMEs. Based upon our analysis a methodology for an integrated management system for predictive maintenance or the Advanced Integrated Maintenance Management System (AIMMS) is presented. The results presented in this paper show that AIMMS supports strategic decisions for predictive maintenance and it helps increase the equipment effectiveness by prioritizing the criticality of the equipment focusing on specific resources, increasing profits based on the Return On Investment (ROI).

References

  1. Al-Najjar B., 1996. Total Quality Maintenance. In Journal of Quality in Maintenance Engineering 2 (3), 4-20.
  2. Baglee D., M. Knowles, 2010. Maintenance strategy development within SMEs: the development of an integrated approach, In Journal Control and Cybernetics, 39 (1), 275-303.
  3. Baglee D., R. Trimble, J. MacIntyre, 2003. An investigation into the perceived barriers to total Productive Maintenance in small and medium enterprises. In International Conference on Manufacturing Research, University of Strathclyde, Professional Engineering Publishing.
  4. Bamber C. J., J. M. Sharp., M. T. Hides, 1999. Factors affecting successful implementation of TPM: A case study perspective. In Journal of Quality in Maintenance Engineering 5 (3), 162-181.
  5. Barnes D., 2002. The complexities of the manufacturing strategy formation process in practice. In International Journal of Operations and Production Management 22 (10), 1090-1111.
  6. Blanchard B., 1997. An enhanced approach for implementing TPM in the manufacturing environment, In Journal of Quality in Maintenance Engineering 3 (2), 69-80.
  7. Bohoris G. A., C. Vamvalis, W. Trace, K. Ignatiadou, 1995. TPM implementation in Land-Rover with the assistance of a CMMS. In Journal of Quality in Maintenance Engineering, 1 (4), 3-16.
  8. Castillio ?., P. Melinand, J. Kasprzyk, (Eds), 2013. Recent Advantages on Hybrid Intelligent Systems, Springer.
  9. Chan F., F. Lau, S. Chan, S. Kong, 2005. Implementation of Total Productive Maintenance: A case study. In International Journal of Production Economics 95(1), 71-94.
  10. Cholasuke C. R., R. Bhardwa, A. Jiju, 2004. The status of maintenance management in UK manufacturing organisations: results from a pilot survey. In Journal of Quality in Maintenance Engineering 10 (1), 5-15.
  11. Cooke F. L., 2000. Implementing TPM in plant maintenance: Some organizational barriers. In International Journal of Quality & Reliability Management 17 (9), 1003-1016.
  12. Dochain D., W. Marquardt, S. Won, ?. Malik, ?. Kinnaert, J. Lunze, 2008. Monitoring and Control of Process and Power Systems: Adapting to Environmental Challenges, Increasing Competitivity and Changing Customer and Consumer Demands, In IFAC World Congress, Seoul, Korea, 7160-7171.
  13. ISA the Instrumentation, Systems and Automation Society, 2005. The ANSVISA 95 Enterprise - Control System Integration, Research Triangle Park, NC, USA.
  14. ISO 13381-I, 2004. Condition monitoring and diagnostics of machines-prognostics - Part: General guidelines. Int. Standard, ISO.
  15. Nakajima S., 1988. Introduction to TPM: Total Productive Maintenance. London, Productivity Press.
  16. Staykov B., T. Atanasova, V. Monov, L. Doukovska, 2013. The ERP Systems in Modern Business and Corporate Management, In Proceedings of the International Symposium on Business Modeling and Software Design - BMSD'13, Noordwijkerhout, The Netherlands, 281-285.
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Paper Citation


in Harvard Style

Hadjiski M., Doukovska L., Kojnov S., V. Monov V. and G. Nikov V. (2014). Significance of the Predictive Maintenance Strategies for SMEs . In Proceedings of the Fourth International Symposium on Business Modeling and Software Design - Volume 1: BMSD, ISBN 978-989-758-032-1, pages 276-281. DOI: 10.5220/0005427102760281


in Bibtex Style

@conference{bmsd14,
author={Mincho Hadjiski and Lyubka A. Doukovska and Stefan L. Kojnov and Vladimir V. Monov and Vassil G. Nikov},
title={Significance of the Predictive Maintenance Strategies for SMEs},
booktitle={Proceedings of the Fourth International Symposium on Business Modeling and Software Design - Volume 1: BMSD,},
year={2014},
pages={276-281},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005427102760281},
isbn={978-989-758-032-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Symposium on Business Modeling and Software Design - Volume 1: BMSD,
TI - Significance of the Predictive Maintenance Strategies for SMEs
SN - 978-989-758-032-1
AU - Hadjiski M.
AU - Doukovska L.
AU - Kojnov S.
AU - V. Monov V.
AU - G. Nikov V.
PY - 2014
SP - 276
EP - 281
DO - 10.5220/0005427102760281