Skip to main content
SpringerLink
Log in

Modular-Based Framework of Key Performance Indicators Regulating Maintenance Contracts

  • Conference paper
  • First Online:
Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies

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

Abstract

Key performance indicators (KPI) are necessary for regulating maintenance performance, setting goals as well as for follow up and improvement. Several standards and models for measuring maintenance performance exist today, but these are mainly developed for in-house maintenance. For outsourced maintenance, which is regulated in a service contract, other kinds of KPIs are needed. The procurement of maintenance and contract forms is also changing; an alternative to the traditional maintenance contract based on fixed price and predetermined activities are the performance-based contracts. Cooperation contracts based on mutual trust and fairness for all parties are also available. New KPI models for regulating maintenance service contracts are therefore needed. In this paper, a KPI framework for maintenance contracts based on the concept of modular maintenance offerings is proposed. Modular maintenance offerings is a way to classify maintenance services offerings with increasing integration of the offering, and increasing focus on utility for the customer and the business ecosystem. The KPI framework proposes indicators for regulating contracts on three levels (resource, performance and utility level) and includes six categories of indicators: economic, technical, organisational, quality, safety and health, and relationship between actors.

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

Access this chapter

Log in via an institution
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
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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. Abdi A, Lind H, Birgisson B (2014) Designing appropriate contracts for achieving efficient winter road and railway maintenance with high performance quality. Int J Qual Serv Sci 6(4):399–415

    Google Scholar 

  2. Åhrén T, Parida A (2009) Maintenance performance indicators (MPIs) for benchmarking the railway infrastructure. Benchmark Int J 16(2):247–258

    Article  Google Scholar 

  3. Al-Najjar B, Alsyouf I (2004) Enhancing a company’s profitability and competitiveness using integrated vibration-based maintenance: a case study. Eur J Oper Res 157(3):643–657

    Article  Google Scholar 

  4. Al-Najjar B, Kans M (2006) A model to identify relevant data for problem tracing and maintenance cost-effective decisions. Int J Prod Perform Manag 55(8):616–637

    Article  Google Scholar 

  5. Damnjanovic I, Zhang Z (2008) Risk-based model for valuation of performance-specified pavement maintenance contracts. J Constr Eng Manag 134(7):492–500

    Article  Google Scholar 

  6. Esping U, Olsson U (2004) Part II. Partnering in a railway infrastructure maintenance con-tract: a case study. J Qual Maint Eng 10(4):248–253

    Article  Google Scholar 

  7. Famurewa SM, Asplund M, Galar D, Kumar U (2013) Implementation of performance based maintenance contracting in railway industries. Int J Syst Assur Eng Manag 4(3):231–240

    Article  Google Scholar 

  8. Grönroos Christian (2008) Service management och marknadsföring: kundorienterat ledarskap i servicekonkurrensen. Liber, Malmö

    Google Scholar 

  9. Kans M, Ingwald A (2008) Common database for cost-effective improvement of maintenance performance. Int J Prod Econ 113:734–747

    Article  Google Scholar 

  10. Kans M, Ingwald A (2016) A framework for business model development for reaching service management 4.0. J Maint Eng 1:398–407

    Google Scholar 

  11. Komonen K (2002) A cost model of industrial maintenance for profitability analysis and benchmarking. Int J Prod Econ 79(1):15–31

    Article  Google Scholar 

  12. Kowalkowski C, Kindström D (2012) Tjänster och helhetslösningar: nya affärsmodeller för konkurrenskraft. Liber, Malmö

    Google Scholar 

  13. Kumar U, Galar D, Parida A, Stenström C, Berges L (2013) Maintenance performance metrics: a state-of-the-art review. J Qual Maint Eng 19(3):233–277

    Article  Google Scholar 

  14. Lawther WC, Martin L (2014) Availability payments and key performance indicators: challenges for effective implementation of performance management systems in transportation public-private partnerships. Publ Works Manag Policy 19(3):219–234

    Article  Google Scholar 

  15. Lieckens KT, Colen PJ, Lambrecht MR (2015) Network and contract optimization for maintenance services with remanufacturing. Comput Oper Res 54:232–244

    Article  MathSciNet  Google Scholar 

  16. Norden C, Hribernik K, Ghrairi Z, Thoben K-D, Fuggini C (2013) New approaches to through-life asset management in the maritime industry. Procedia CIRP 11:219–224

    Article  Google Scholar 

  17. Olsson U, Esping U, Part I (2004) A framework of partnering for infrastructure maintenance. J Qual Maint Eng 10(4):234–24719

    Article  Google Scholar 

  18. Osterwalder A, Pigneur Y (2010) Business model generation: a handbook for visionaries, game changers, and challengers [electronic resource]. Wiley, Hoboken

    Google Scholar 

  19. Shohet IM (2003) Key performance indicators for maintenance of health-care facilities. Facilities 21(1/2):5–12

    Article  Google Scholar 

  20. Sinkkonen T, Marttonen S, Tynninen L, Kärri T (2013) Modelling costs in maintenance networks. J Qual Maint Eng 19(3):330–344

    Article  Google Scholar 

  21. SIS (2006) SS-EN 13269:2006, Maintenance—guidelines for the preparation of maintenance contracts

    Google Scholar 

  22. SIS (2007) SS-EN 15341:2007, Maintenance key performance indicators

    Google Scholar 

  23. Stenbeck T (2008) Quantifying effects of incentives in a rail maintenance performance-based contract. J Constr Eng Manag 134(4):265–272

    Article  Google Scholar 

  24. Straub A (2010) Competences of maintenance service suppliers servicing end-customers. Constr Manag Econ 28:1187–1195

    Article  Google Scholar 

Download references

Acknowledgements

This research is partly founded by the Swedish innovation agency Vinnova within the project Future Industrial Services Management.

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Linnaeus University, Växjö, Sweden

    Mirka Kans

  2. Department of Physics and Electrical Engineering, Linnaeus University, Växjö, Sweden

    Anders Ingwald

Authors
  1. Mirka Kans
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Anders Ingwald
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mirka Kans .

Editor information

Editors and Affiliations

  1. The Asset Institute, Queensland University of Technology, Brisbane, QLD, Australia

    Joseph Mathew

  2. Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong SAR, China

    C.W. Lim

  3. School of Chemistry, Physics, Mechanical Engineering, Queensland University of Technology, Brisbane, QLD, Australia

    Lin Ma

  4. Synengco Pty Ltd, Highgate Hill, QLD, Australia

    Don Sands

  5. School of Chemistry, Physics, Mechanical Engineering, Queensland University of Technology, Brisbane, QLD, Australia

    Michael E. Cholette

  6. School of Mechanical and Manufacturing Engineering, UNSW Sydney, Sydney, NSW, Australia

    Pietro Borghesani

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kans, M., Ingwald, A. (2019). Modular-Based Framework of Key Performance Indicators Regulating Maintenance Contracts. In: Mathew, J., Lim, C., Ma, L., Sands, D., Cholette, M., Borghesani, P. (eds) Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-95711-1_30

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-95711-1_30

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95710-4

  • Online ISBN: 978-3-319-95711-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation