Skip to main content
SpringerLink
Log in

Risk based maintenance strategy: a quantitative approach based on time-to-failure model

  • Original Article
  • Published:
International Journal of System Assurance Engineering and Management Aims and scope Submit manuscript

Abstract

The appropriate maintenance strategy for a specific system requires a detailed analysis of the system’s reliability. Reliability analysis relies greatly on the historical failure and repair data. Lack of data, poor quality data, data censoring, and combining data from different systems working in different operating conditions are some of the challenges for maintenance analysts. Hence, based on the nature of historical failure and repair data (independence of data, constant failure rates, identically distributed variables, etc.), an appropriate statistical model should be selected to predict the reliability of the system. Thereafter, based on the defined reliability characteristics of the system, an appropriate maintenance strategy needs to be established. In this study, a systematic methodology is developed, based on the available guidelines for maintenance strategy selection, founded on the reliability analysis of historical failure data. The application of the methodology is shown by a case study from the crushing and mixing bed hall unit at a cement factory.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Barabadi A (2013) Reliability model selection and validation using Weibull probability plot—a case study. Electr Power Syst Res 101:96–101. doi:10.1016/j.epsr.2013.03.010

    Article  Google Scholar 

  • Barabadi A (2014) Reliability analysis of offshore production facilities under arctic conditions using reliability data from other areas. J Offshore Mech Arct Eng 136:021601. doi:10.1115/1.4026240

    Article  Google Scholar 

  • Barabadi A, Barabady J, Markeset T (2011) A methodology for throughput capacity analysis of a production facility considering environment condition. Reliab Eng Syst Saf 96:1637–1646. doi:10.1016/j.ress.2011.09.001

    Article  Google Scholar 

  • Barabadi A, Gudmestad OT, Barabady J (2015) RAMS data collection under Arctic conditions. Reliab Eng Syst Saf 135:92–99. doi:10.1016/j.ress.2014.11.008

    Article  Google Scholar 

  • Barabady J, Kumar U (2005) Maintenance schedule by using reliability analysis: a case study at Jajram Bauxite Mine of Iran. In: World Mining Congress, Tehran, Iran, pp 831–838

  • Barabady J, Kumar U (2007) Availability allocation through importance measures. Int J Qual Reliab Manag 24:643–657. doi:10.1108/02656710710757826

    Article  Google Scholar 

  • Barabady J, Kumar U (2008) Reliability analysis of mining equipment: a case study of a crushing plant at Jajarm Bauxite Mine in Iran. Reliab Eng Syst Saf 93:647–653. doi:10.1016/j.ress.2007.10.006

    Article  Google Scholar 

  • Billinton R, Allan RN (2013) Reliability evaluation of engineering systems: concepts and techniques. Springer, Berlin

    MATH  Google Scholar 

  • Birolini A (2013) Reliability engineering: theory and practice: with 190 figures, 60 tables, 140 examples, and 70 problems for homework, 5th edn. Springer, Berlin

    Google Scholar 

  • Furuly S, Barabadi A, Barabady J (2013) Reliability analysis of mining equipment considering operational environments: a case study. Int J Perform Eng 9:287–294

    Google Scholar 

  • Garmabaki A, Ahmadi A, Block J et al (2016a) A reliability decision framework for multiple repairable units. Reliab Eng Syst Saf 150:78–88. doi:10.1016/j.ress.2016.01.020

    Article  Google Scholar 

  • Garmabaki AHS, Ahmadi A, Mahmood YA, Barabadi A (2016b) Reliability modelling of multiple repairable units. Qual Reliab Eng Int 32:2329–2343. doi:10.1002/qre.1938

    Article  Google Scholar 

  • Hall RA, Daneshmend LK (2003) Reliability modelling of surface mining equipment: data gathering and analysis methodologies. Int J Surf Min Reclam Environ 17:139–155. doi:10.1076/ijsm.17.3.139.14773

    Article  Google Scholar 

  • Hoseinie SH, Ataei M, Khalokakaie R et al (2012) Reliability analysis of the cable system of drum shearer using the power law process model. Int J Min Reclam Environ. doi:10.1080/17480930.2011.622477

    Google Scholar 

  • Kumar U, Klefsjö B, Granholm S (1989) Reliability investigation for a fleet of load haul dump machines in a Swedish mine. Reliab Eng Syst Saf 26:341–361. doi:10.1016/0951-8320(89)90004-5

    Article  Google Scholar 

  • Kvaløy JT, Lindqvist BH (1998) TTT-based tests for trend in repairable systems data. Reliab Eng Syst Saf 60:13–28. doi:10.1016/S0951-8320(97)00099-9

    Article  Google Scholar 

  • Liang M-T, Lan J-J (2005) Reliability analysis for the existing reinforced concrete pile corrosion of bridge substructure. Cem Concrete Res 35:540–550. doi:10.1016/j.cemconres.2004.05.010

    Article  Google Scholar 

  • Louit DM, Pascual R, Jardine AK (2009) A practical procedure for the selection of time-to-failure models based on the assessment of trends in maintenance data. Reliab Eng Syst Saf 94:1618–1628. doi:10.1016/j.ress.2009.04.001

    Article  Google Scholar 

  • Majumdar SK (1995) Study on reliability modelling of a hydraulic excavator system. Qual Reliab Eng Int 11:49–63. doi:10.1002/qre.4680110108

    Article  Google Scholar 

  • Naghiloo A, Farzaneh H, Shahabi H et al (2011) Using a developed PM in order to optimize the production productivity in a cement industry. J Appl Sci Environ Manag. doi:10.4314/jasem.v15i2.68532

    Google Scholar 

  • Norsok Z (2011) Z-008 Risk based maintenance and consequence classification—Rev. 3, June 2011. Risk Based Maintenance and Consequence Classification, Lysaker, Norway: Standards Norway 46

  • Vagenas N, Runciman N, Clément SR (1997) A methodology for maintenance analysis of mining equipment. Int J Surf Min Reclam Environ 11:33–40. doi:10.1080/09208119708944053

    Article  Google Scholar 

  • Wang P, Coit DW (2005) Repairable systems reliability trend tests and evaluation. IEEE, Washington, pp 416–421

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Shahrood University of Technology, Shahrood, Iran

    Ali Nouri Gharahasanlou, Mohammad Ataei & Reza Khalokakaie

  2. The University of Tromso - The Arctic University of Norway, Tromsø, Norway

    Abbas Barabadi

  3. Urmia University, Urmia, Iran

    Vahid Einian

Authors
  1. Ali Nouri Gharahasanlou
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mohammad Ataei
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Reza Khalokakaie
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Abbas Barabadi
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Vahid Einian
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ali Nouri Gharahasanlou.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nouri Gharahasanlou, A., Ataei, M., Khalokakaie, R. et al. Risk based maintenance strategy: a quantitative approach based on time-to-failure model. Int J Syst Assur Eng Manag 8, 602–611 (2017). https://doi.org/10.1007/s13198-017-0607-7

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13198-017-0607-7

Keywords

Search

Navigation