Skip to main content

More Reliable Profitable and Competitive Production via Effective e-Maintenance: A Case Study

  • Conference paper
  • First Online:
Proceedings of the 7th World Congress on Engineering Asset Management (WCEAM 2012)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

  • 1720 Accesses

Abstract

Profitable production demands continuously improved maintenance decision accuracy for reducing/avoiding failures and unplanned stoppages due to their consequences. More accurate decisions prolong life length of components, and consequently machines, and maintain the production running longer. When a condition-monitoring (CM) value exceeds a significant (warning) level, it demands a clear understanding of what happened and how it will develop in the next future to avoid failures. In addition to CM it demands reliable information concerning the probability of failure, residual lifetime, and when is the most profitable time of conducting maintenance. Companies strive to reduce production cost in order to increase the possibility of offering customers lower prices and generating additional competitive advantages. But applying new technologies for enhancing maintenance, production performances, and company competitiveness counters many problems in industry. In this paper, a new innovative e-maintenance decision support system (eMDSS) is introduced; the problems facing successful implementation of eMDSS based on a case study are introduced and discussed. Solutions to avoid the problems facing successful implementation of eMDSS are suggested and discussed. eMDSS offers a unique opportunity to achieve just in time dynamic and cost-effective maintenance by selecting the most profitable time for maintenance.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 199.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Al-Najjar B, Alsyouf I (2003) Just in time maintenance: a way to improve companies’ competitiveness. Conference business excellence, University of Minho, Portugal, pp 596–603, 11–13 June 2003

    Google Scholar 

  2. Al-Najjar B (2007) The lack of maintenance and not maintenance which costs: a model to describe and quantify the impact of vibration-based maintenance on company’s business. IJPPM 55(8):260–273

    Google Scholar 

  3. Djurdjanovic D, Lee J, Ni J (2004) Watchdog agent—an infotronics-based prognostic approach for performance degradation assessment and prediction. Adv Eng Inform 17:109–125

    Article  Google Scholar 

  4. Garg A, Deshmukh SG (2006) Maintenance management: literature review and directions. JQIME 12(3):205–238

    Google Scholar 

  5. Fu C, Ye LQ, Liu YQ, Iung B (2002) MAS-based model of intelligent control-maintenance management system (ICMMS) and its applications. Inter Conf Mach Learn Cybern 1:376–380

    Google Scholar 

  6. Cerrada M, Cardillo J, Aguilar J, Faneite R (2007) Agent based design for fault management systems in industrial processes. Comput Ind 58:313–328

    Article  Google Scholar 

  7. Nadakatti M, Ramachandra A, Kumar ANS (2008) Artificial intelligence-based condition monitoring for plant maintenance. Assembly Autom 28(2):143–150

    Article  Google Scholar 

  8. Sloan TW, Shanthikumar G (2000) Combined production and maintenance scheduling for a multiple-product, single-machine production system. Prod Oper Manage 9(4):379–399

    Article  Google Scholar 

  9. Al-Najjar B (2009) A computerised model for assessing the return on investment in maintenance; following up maintenance contribution in company profit. In: Proceedings of WCEAM Sep 2009. Greece, Athens, Springer-Verlag London Limited, London, pp 137–145

    Google Scholar 

  10. Holmberg K, Jantunen E, Adgar A, Mascolo J, Arnaiz A, Mekid S (2010) Strategies for cost-effectiveness. E-maintenance. Springer-Verlag London Limited, London

    Google Scholar 

Download references

Acknowledgments

This study was partly funded by EU-IP DYNAMITE (Dynamic Decisions in Maintenance) 2005–2009 and partly by E-maintenance Sweden AB.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Basim Al-Najjar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Al-Najjar, B. (2015). More Reliable Profitable and Competitive Production via Effective e-Maintenance: A Case Study. In: Lee, W., Choi, B., Ma, L., Mathew, J. (eds) Proceedings of the 7th World Congress on Engineering Asset Management (WCEAM 2012). Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-06966-1_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-06966-1_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02461-5

  • Online ISBN: 978-3-319-06966-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics