Skip to main content

A Mathematical Formulation of the Problem of Optimization of Inspection Planning in Asset Management

  • Conference paper
  • First Online:
Engineering Asset Management 2011

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

  • 3157 Accesses

Abstract

The problem of optimal planning for inspection of assets in engineering asset management is formulated in the case that the inspections take place at the beginning of the planning period. It is shown that the problem has the form of a 0-1 knapsack problem. The formulation is applicable to systems consisting of multiple assets. The concept of risk, as usually defined in asset management, arises from the formulation in a natural way and plays an important part in identifying optimal inspection plans. Two special cases are considered. In the first special case, where the inspection budget is large, the optimal inspection plan involves inspecting all assts whose risk is sufficiently large. In the second special case, where the costs and expected benefits associated with each asset are the same and the conditional probability of failure of each asset given that it has been inspected is negligible, the optimal inspection plan involves prioritization of assets on the basis of risk alone.

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 EPUB and 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

References

  1. Burn S, Marlow D, Moglia M, Buckland P (2007) Asset management for water infrastructure. Water Asset Manage Int 3(2):12–18

    Google Scholar 

  2. Barlow RE, Proschan F (1965) Mathematical theory of reliability. Wiley, New York

    MATH  Google Scholar 

  3. Legat V, Zaludova AH, Cervenka V, Jurca V (1996) Contribution to optimization of preventive replacement. Reliab Eng Syst Saf 51(3):259–266

    Article  Google Scholar 

  4. Ghosh D, Roy S (2009) Maintenance optimization using probabilistic cost-benefit analysis. J Loss Prev Process Ind 22(4):403–407

    Article  Google Scholar 

  5. Kaplan S, Garrick BJ (1981) On the quantitative definition of risk. Risk Anal 1(1):11–27

    Article  Google Scholar 

  6. IPWEA (2006) International infrastructure management manual, 3rd edn. Australia/NZ Edition. Association of Local Government Engineering NZ Inc.

    Google Scholar 

  7. Faber MH, Stewart MG (2003) Risk assessment for civil engineering facilities: critical overview and discussion. Reliab Eng Saf Syst 80(2):173–184

    Article  Google Scholar 

  8. Khan FI, Haddara MM (2003) Risk-based maintenance (RBM): a quantitative approach for maintenance/inspection scheduling and planning. J Loss Prev Process Ind 16(6):561–573

    Article  Google Scholar 

  9. Lee AK, Serratella C, Wang G, Basu R, Spong R (2007) Multilevel risk-based inspection scheme for FPSOs. Mar Technol 44(2):118–124

    Google Scholar 

  10. Willcocks J, Bai Y (2000) Risk based inspection and integrity management of pipeline systems. In: Proceedings of the 10th international offshore and polar engineering conference, vol 2 pp 285–294

    Google Scholar 

  11. ASME (1991) Research task force on risk based inspection guidelines, risk based inspection development of guidelines: general document. American Society of Mechanical Engineers, Washington, DC

    Google Scholar 

  12. API (1995) Base resource document on risk based inspection for API committee on refinery equipment. American Petroleum Institute, Washington DC

    Google Scholar 

  13. Ridgeway M (2001) Classifying medical devices according to their maintenance sensitivity: a practical risk-based approach to PM program management. Biomed Instrum Technol 35(3):167–176

    Google Scholar 

  14. Khan FI, Haddara MM, Bhattacharya SK (2006) Risk-based integrity and inspection modeling (RBIIM) of process components/systems. Risk Anal 26(1):203–221

    Article  Google Scholar 

  15. Rogers PD, Grigg NS (2009) Failure assessment modeling to prioritize water pipe renewal: two case studies. J Infrastruct Syst 15(3):162–171

    Article  Google Scholar 

  16. Ugarelli R, Di Federico V (2010) Optimal scheduling of replacement and rehabilitation in wastewater pipeline networks. J Water Resour Plann Manage 136(3):348–356

    Article  Google Scholar 

  17. Shirmohammadi AH, Love CE, Zhang ZG (2003) An optimal maintenance policy for skipping imminent preventive maintenance for systems experiencing random failures. J Oper Res Soc 54(1):40–47

    Article  MATH  Google Scholar 

  18. Shirmohammadi AH, Zhang ZG, Love CE (2007) A computational model for determining the optimal preventive maintenance policy with random breakdowns and imperfect repairs. IEEE Trans Reliab 56(2):332–339

    Article  Google Scholar 

  19. Straub D, Faber M (2005) Risk based inspection planning for structural systems. Struct Saf 27(4):335–355

    Article  Google Scholar 

  20. Straub D, Faber M (2006) Computational aspects of risk-based inspection planning. Comput-Aided Civ Infrastruct Eng 21(3):179–192

    Article  Google Scholar 

  21. Brown D, Dillard J, Marshall RS (2006) Triple bottom line: a business metaphor for a social construct. Portland State University, School of Business Administration, Working paper, Portland, OR

    Google Scholar 

  22. Kellerer H, Pferschy U, Pisinger D (2004) Knapsack problems. Springer, New York

    Book  MATH  Google Scholar 

Download references

Acknowledgments

The authors would like to thank David Beale and Mike Rahilly for very helpful discussions.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to J. Mashford .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag London

About this paper

Cite this paper

Mashford, J., Marlow, D., Marney, D., Burn, S. (2014). A Mathematical Formulation of the Problem of Optimization of Inspection Planning in Asset Management. In: Lee, J., Ni, J., Sarangapani, J., Mathew, J. (eds) Engineering Asset Management 2011. Lecture Notes in Mechanical Engineering. Springer, London. https://doi.org/10.1007/978-1-4471-4993-4_43

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-4993-4_43

  • Published:

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4992-7

  • Online ISBN: 978-1-4471-4993-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics