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Optimization of Operation and Safety of Baltic Port and Shipping Critical Infrastructure Network with Considering Climate-Weather Change Influence – Maximizing Lifetime in the Set of Safety States Not Worse Than a Critical Safety State

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper is devoted the optimization of operation process and maximization of safety lifetimes for Baltic Port and Shipping Critical Infrastructure Network (BPSCIN) at variable operation conditions related to the climateweather change. For this network, the optimal transient probabilities of BPSCIN operation process at operation states related to climate-weather change that maximize the mean value of BPSCIN safety lifetimes are found. Finally, the optimal safety and resilience indicators of considered network are presented.
Rocznik
Strony
27--34
Opis fizyczny
Bibliogr. 12 poz.
Twórcy
autor
  • Maritime University, Gdynia, Poland
  • Maritime University, Gdynia, Poland
Bibliografia
  • 1. European Union, European Commission, (2013a). Commission Staff working document: Climate change adaptation, coastal and marine issues, SWD(2013) 133 final. Brussels.
  • 2. European Union, European Commission, (2013b). Commission Staff working document: Adapting infrastructure to climate change, SWD(2013) 137 final. Brussels.
  • 3. Grabski F. (2015). Semi-Markov Processes: Applications in System Reliability and Maintenance. Elsevier.
  • 4. Guze, S. & Kołowrocki K. (2017a). Modelling Safety of Baltic Port and Shipping Critical Infrastructure Network Safety Related to Its Operation Process, Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars, Vol. 8, No 3, 55-72.
  • 5. Guze, S. & Kołowrocki K. (2017). Integrated Impact Model on Baltic Port and Shipping Critical Infrastructure Network Safety Related to Its Operation Process, Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars, Vol. 8, No 4., 77-102.
  • 6. Klabjan, D. & Adelman, D. (2006). Existence of optimal policies for semi-Markov decision processes using duality for infinite linear programming. Siam Journal on Control and Optimization, 44(6), 2104-2122.
  • 7. Kołowrocki, K. (2014). Reliability of Large and Complex Systems. Amsterdam, Boston, Heidelberd, London, New York, Oxford, Paris, San Diego, San Francisco, Singapore, Sidney, Tokyo.
  • 8. Kołowrocki, K., Blokus-Roszkowska, A., Bogalecka, M., Dziula, P., Guze, S. & Soszyńska-Budny, J. (2017a). WP3-Task3.3-D3.3-Part 1 - Inventory of Critical Infrastructure Impact Assessment Models for Climate Hazards, EU-CIRCLE Report.
  • 9. Kołowrocki, K., Blokus-Roszkowska, A., Bogalecka, M., Kuligowska, E., Soszyńska-Budny, J. & Torbicki, M. (2017b). WP3-Task3.4 & Task3.5 - D3.3 - Part3 - Critical Infrastructure Safety and Resilience Indicators, EU-CIRCLE Report.
  • 10. Kołowrocki, K., Blokus-Roszkowska, A., Dziula, P., Guze, S. & Soszyńska-Budny, J. (2017c). WP3Task3.5 - Holistic Risk Assessment Propagation Model, EU-CIRCLE Report.
  • 11. Kołowrocki, K. & Soszyńska-Budny, J. (2011). Reliability and Safety of Complex Technical Systems and Processes: Modeling - Identification - Prediction – Optimization. London, Dordrecht, Heildeberg, New York.
  • 12. Kołowrocki, K. & Soszyńska-Budny, J. (2012a). Introduction to safety analysis of critical infrastructures. Proc. International Conference on Quality, Reliability, Risk, Maintenance and Safety Engineering - QR2MSE, Chendgu, China, 1-6.
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-626e27dd-cd51-4f11-8775-b0abfe4acfdb
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