Skip to main content

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 286))

  • 1337 Accesses

Abstract

There is a strong relationship between maintenance planning and production scheduling as both services operate on the same assets and their availability. Many academic research papers and experimental techniques have been developed to synchronize activities between these two inter-dependent key roles in all companies. These techniques are taken into account and implemented in several maintenance management systems to enhance communication and synchronization during the maintenance management process. However, there is no sufficient improvements in the earlier steps of this process. Preventive maintenance workload balancing consists of having a high level abstraction of the asset availability for maintenance work, based on a crossover of maintenance resource availability and operation constraints. It is an earlier task of the maintenance management process. In this paper, we have developed a formal approach for balancing the preventive maintenance workload. This approach allows us to pinpoint the problems and possible irregularities on time in order to obtain the desired behaviors and areas for improvement. The formal workload balancing for preventive maintenance significantly reduces the consumption of necessary resources and provides a good distribution of workload while considering operational constraints.

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 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Cassady, C.R., Kutanoglu, E.: Integrating Preventive Maintenance Planning and Production Scheduling for a Single Machine. IEEE Transactions on Reliability 54(2) (2005)

    Google Scholar 

  2. Ross, D.T.: Structured Analysis (SA): A Language for Communicating Ideas. IEEE Transactions on Software Engineering SE-3(1) (January 1977)

    Google Scholar 

  3. Shapiro, J.F.: Mathematical programming models and methods for production planning and scheduling. In: Graves, S.C., Rinnooy Kan, A.H.G., Zipkin, P.H. (eds.) Handbooks in Operations Research and Management Science. Logistics of Production and Inventory, vol. 4. North-Holland (1993)

    Google Scholar 

  4. Valdez-Flores, C.: Survey of preventive maintenance models for stochastically deteriorating single-unit systems. Nav. Res. Logist. 36(4), 419–446 (1989)

    Article  MATH  MathSciNet  Google Scholar 

  5. Ashayeri, J., Teelen, A., Selen, W.: A production and maintenance planning model for the process industry. Int. J. Production Res. 34(12), 3311–3326 (1996)

    Article  MATH  Google Scholar 

  6. Sortrakul, N., Nachtmann, H.L., Richard Cassady, C.: Genetic algorithms for integrated preventive maintenance planning and production scheduling for a single machine. Computers in Industry 56(2) (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ammar Bessam .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Bessam, A. (2014). A Formal Approach for Preventive Maintenance Workload Balancing. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) Proceedings of the Ninth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX. June 30 – July 4, 2014, Brunów, Poland. Advances in Intelligent Systems and Computing, vol 286. Springer, Cham. https://doi.org/10.1007/978-3-319-07013-1_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-07013-1_6

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07012-4

  • Online ISBN: 978-3-319-07013-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics