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Optimization of Critical Infrastrucutre operation and Safety With Considering Climate-Weather Change Impact - Minimizing Operation Cost

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The general model of a critical infrastructure changing its safety structure, its components safety parameters and its operation cost during the variable operation process and linear programming are applied to optimize the critical infrastructure operation process in order to get the critical infrastructure operation cost optimal value. The optimization problem allowing to find the optimal values of the transient probabilities of the critical infrastructure operation process at the particular operation states that minimize the critical infrastructure operation cost mean value in the safety states subset not worse than a critical safety state is presented. The optimization of operation cost of the critical infrastructure is proposed with considering climate-weather change process influence on the system safety.
Rocznik
Strony
43--52
Opis fizyczny
Bibliogr. 31 poz.
Twórcy
  • Maritime University, Gdynia, Poland
  • Maritime University, Gdynia, Poland
  • Gdynia Maritime University, Gdynia, Poland
Bibliografia
  • 1. Barbu V., Limnios N., Empirical estimation for discrete-time semi-Markov processes with applications in reliability. Journal of Nonparametric Statistics, Vol. 18, No. 7-8, 483-498, 2006
  • 2. Blokus-Roszkowska A., Kolowrocki K. Modeling safety of interconnected critical infrastructure network cascading. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminnars, Vol 8, No 3, 97-114, 2017
  • 3. Bogalecka M., Kołowrocki K. Integrated model of critical infrastructure accident consequences, Journal of Polish Safety and Reliability Association, Special Issue on EU-CIRCLE Project Critical Infrastructure Impact Models for Operation Threats and Climate Hazards, Part 1, Critical Infrastructure Connections, 8(3), 43-54, 2017
  • 4. Caldwell H., Quinn K.H., Meunier J., Suhrbier J., Grenzeback L., Potential impacts of climate change on freight transport. In: U.S. DOT, 2002. The Potential Impacts of Climate Change on Transportation, Summary and Discussion Papers. U.S. Department of Transportation, 2002. EU-CIRCLE Report D1.1, EU-CIRCLE Taxonomy, 2015
  • 5. EU-CIRCLE Report D3.3, Integrated Model of Critical Infrastructure Safety (IMCIS) Related to its Operation Process, 2016
  • 6. Ferreira F., Pacheco A., Comparison of level crossing times for Markov and semi-Markov processes. Statistics and Probability Letters, Vol. 7, No 2, 151-157, 2007
  • 7. Glynn P.W., Haas P.J., Laws of large numbers and functional central limit theorems for generalized semi Markov processes. Stochastic Models, Vol. 22, No 2, 201-231, 2006
  • 8. Grabski F., (2002) Semi-Markov Models of Systems Safety and Operations Analysis. System Research Institute, Polish Academy of Science, 2002 (in Polish)
  • 9. Guze S., Kołowrocki K.: Modelling Operation Process of Baltic Port, Shipping and Ship Traffic and Operation Information Critical Infrastructure Network. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 10, No. 2, pp. 275-284, 2016
  • 10. Guze S., Kołowrocki K., WP4-Task4.2-D4.4-Critical Infrastructure Climate Related Business Continuity Models-V1.0-GMU-2017
  • 11. Guze S., Kołowrocki K., Safety Modeling of Port, Shipping and Ship Traffic and Port Operation Information Critical Infrastructure Join Network related to Its Operation Process, ESREL 2017, 2017 (submitted)
  • 12. Klabjan D., Adelman D., Existence of optimal policies for semi-Markov decision processes using duality for infinite linear programming. Siam Journal on Control and Optimization, Vol. 44, No. 6, 2104-2122, 2006
  • 13. Kołowrocki K., Reliability of Large and Complex Systems, Amsterdam, Boston, Heidelberd, London, New York, Oxford, Paris, San Diego, San Francisco, Singapore, Sidney, Tokyo, Elsevier, 2014
  • 14. Kolowrocki K., Soszynska J., Reliability, risk and availability based optimization of complex technical systems operation processes. Part 1. Theoretical backgrounds. Electronic Journal Reliability & Risk Analysis: Theory & Applications, Vol. 2, No 4, 141-152, 2009
  • 15. Kolowrocki K., Soszynska J., Reliability, risk and availability based optimization of complex technical systems operation processes. Part 2. Application in Port Transportation. Electronic Journal Reliability & Risk Analysis: Theory & Applications, Vol. 2, No 4, 153-167, 2009
  • 16. Kolowrocki K., Soszynska J., Safety and risk optimization of a ferry technical system. Summer Safety & Reliability Seminars. Journal of Polish Safety and Reliability Association, Issue 4, Vol. 1, 159-172, 2010
  • 17. Kołowrocki K., Soszyńska-Budny J., Reliability and Safety of Complex Technical Systems and Processes: Modeling - Identification - Prediction - Optimization, London, Dordrecht, Heildeberg, New York, Springer, 2011
  • 18. Kołowrocki K., Soszyńska-Budny J., Introduction to safety analysis of critical infrastructures. Proc. International Conference on Quality, Reliability, Risk, Maintenance and Safety Engineering - QR2MSE, Chendgu, China, 1-6, 2012a
  • 19. Kołowrocki K., Soszyńska-Budny J., Introduction to safety analysis of critical infrastructures. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 3, 73-88, 2012b
  • 20. Kołowrocki K., Soszyńska-Budn, J., Prediction of Critical Infrastructures Safety. Proc. of The International Conference on Digital Technologies, Zilina, 141-149, 2014
  • 21. Kołowrocki K., Soszyńska-Budny J. General approach to modelling operation threats and extreme weather hazards impact on critical infrastructure safety, Journal of Polish Safety and Reliability Association, Special Issue on EU-CIRCLE Project Critical Infrastructure Impact Models for Operation Threats and Climate Hazards, Part 1, Critical Infrastructure Connections, 8(3), 1-8, 2017a
  • 22. Kołowrocki K. Soszyńska-Budny J. Torbicki M. Critical infrastructure operating area climate-weather change process including extreme weather hazards, Journal of Polish Safety and Reliability Association, Special Issue on EU-CIRCLE Project, Critical Infrastructure Operation and Climate-Whether Change Modelling, Prediction and Data Processing, 8(2), 15-24, 2017b
  • 23. Kolowrocki K., Soszynska-Budny J., Modeling safety of multistate ageing systems. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminnars, Vol 8, No 3, 9-22, 2017c
  • 24. Kuo W., Prasad V. R., An annotated overview of system-reliability optimization. IEEE Transactions on Reliability, 49(2), 176-187, 2000
  • 25. Kuo W., Zuo M. J., Optimal Reliability Modeling: Principles and Applications. Hoboken: John Wiley & Sons, Inc., 2003
  • 26. Levitin G., Lisnianski A., Optimisation of imperfect preventive maintenance for multistate systems. Reliability Engineering and System Safety 67, 193-203, 2000
  • 27. Levitin G., Lisnianski A., Optimal replacement scheduling in multi-state series-parallel systems. Quality and Reliability Engineering International 16, 157-162, 2000
  • 28. Tang H., Yin B. Q., Xi H. S., Error bounds of optimization algorithms for semi-Markov decision processes. International Journal of Systems Science, Vol. 38, No. 9, 725-736, 2007
  • 29. Vercellis S., Data mining and optimization for decision making. John Wiley & Sons Ltd, 2009
  • 30. Xue J., On multi-state system analysis, IEEE Transaction on Reliability, 34, 329-337, 1985
  • 31. Xue J., Yang K., Dynamic reliability analysis of coherent multi-stste systems, IEEE Transaction on Reliability, 4(44), 683-688, 1995
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-01dfda0f-9ea9-4b85-ba3c-f420a3511e2d
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