Advertisement

Complex Technical Systems Operation, Reliability, Availability, Safety and Cost Optimization

  • Krzysztof Kołowrocki
  • Joanna Soszyńska-Budny
Chapter
Part of the Springer Series in Reliability Engineering book series (RELIABILITY)

Abstract

The methods based on the results of the joint model linking a semi-Markov modeling of the system operation processes with a multistate approach to system reliability and safety and the linear programming are proposed to complex technical systems at the variable operating conditions, reliability, availability and safety optimization and cost analysis. The method of optimization of the complex technical systems operation processes determining the optimal values of limit transient probabilities at the system operation states that maximize the system lifetimes in the reliability or safety state subsets is proposed. The way of operation cost analysis of the complex technical system at the variable operating conditions and its application to the evaluation of the cost before and after this system operation process optimization is presented. The methods of corrective and preventive maintenance policy maximizing the availability and minimizing the renovation cost of the complex technical systems at the variable operating conditions are presented as well. The proposed methods are applied to the operation, reliability and availability optimization and operation cost analysis of the exemplary technical system and the port oil piping transportation system and to the operation and safety optimization of the maritime ferry technical system related to varying in time their operation processes, structures and components reliability and safety parameters. The procedures of the corrective and preventive maintenance policy optimization are proposed and applied to the exemplary system, the port oil piping transportation system and the ferry technical system.

Keywords

Sojourn Time Preventive Maintenance Renovation Time Variable Operating Condition System Renovation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Helvacioglu S, Insel M (2008) Expert system applications in marine technologies. Ocean Eng 35:1067–1074CrossRefGoogle Scholar
  2. 2.
    Klabjan D, Adelman D (2006) Existence of optimal policies for semi-Markov decision processes using duality for infinite linear programming. SIAM J Contr Optim 44(6):2104–2122MathSciNetMATHCrossRefGoogle Scholar
  3. 3.
    Kolowrocki K, Soszynska J (2009) Reliability, risk and availability based optimization of complex technical systems operation processes. Part 1. Theoretical backgrounds. Electron J Reliab Risk Anal Theory Appl 2(44):141–152Google Scholar
  4. 4.
    Kolowrocki K, Soszynska J (2009) Reliability, risk and availability based optimization of complex technical systems operation processes. Part 2. Application in port transportation. Electron J Reliab Risk Anal Theory Appl 2(4):153–167Google Scholar
  5. 5.
    Kolowrocki K, Soszynska J (2010) Reliability, availability and safety of complex technical systems: modelling–identification–prediction–optimization. Summer safety & reliability seminars. J Pol Saf Reliab Assoc 4(1):133–158Google Scholar
  6. 6.
    Kolowrocki K, Soszynska J (2010) Reliability modeling of a port oil transportation system’s operation processes. Int J Perform Eng 6(1):77–87Google Scholar
  7. 7.
    Kolowrocki K, Soszynska J (2010) Safety and risk optimization of a ferry technical system Summer Safety & Reliability Seminars. J Pol Saf Reliab Assoc 4(1):159–172Google Scholar
  8. 8.
    Kuo W, Prasad VR (2000) An annotated overview of system-reliability optimization. IEEE Trans Reliab 49(2):176–187CrossRefGoogle Scholar
  9. 9.
    Kuo W, Zuo M J (2003) Optimal reliability modeling: principles and applications. Wiley, HobokenGoogle Scholar
  10. 10.
    Levitin G, Lisnianski A (2000) Optimisation of imperfect preventive maintenance for multistate systems. Reliab Eng Sys Saf 67:193–203CrossRefGoogle Scholar
  11. 11.
    Levitin G, Lisnianski A (2003) Optimal replacement scheduling in multi-state series-parallel systems. Qual Reliab Eng Int 16:157–162CrossRefGoogle Scholar
  12. 12.
    Lisnianski A, Levitin G (2003) Multi-State System Reliability Assessment Optimisation and Applications. World Scientific Publishing Co. Pte. Ltd,  SingaporeGoogle Scholar
  13. 13.
    Suich RC, Patterson RL (1991) k-out-of-n:G system: some cost considerations. IEEE Trans Reliab 40(3):259–264MATHCrossRefGoogle Scholar
  14. 14.
    Tang H, Yin BQ, Xi HS (2007) Error bounds of optimization algorithms for semi-Markov decision processes. Int J Sys Sci 38(9):725–736MathSciNetMATHCrossRefGoogle Scholar
  15. 15.
    Merrick JRW, van Dorp R (2006) Speaking the truth in maritime risk assessment. Risk Anal 26(1):223–237CrossRefGoogle Scholar
  16. 16.
    Vercellis S (2009) Data mining and optimization for decision making. John Wiley & Sons Ltd,  IndianapolisMATHGoogle Scholar
  17. 17.
    Zio E (2006) An introduction to the basics of reliability and risk analysis. World Scientific Publishing Co Pte. Ltd,  SingaporeGoogle Scholar

Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  • Krzysztof Kołowrocki
    • 1
  • Joanna Soszyńska-Budny
    • 1
  1. 1.Maritime UniversityGdyniaPoland

Personalised recommendations