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Safety optimization of maritime ferry technical system

Treść / Zawartość
Identyfikatory
Warianty tytułu
Konferencja
14th Summer Safety & Reliability Seminars - SSARS 2020, 26-30 September 2020, Ciechocinek, Poland
Języki publikacji
EN
Abstrakty
EN
The method that can be used in critical infrastructure safety optimization is shown and adapted to the ferry technical system. The optimal values of the operation process, safety and resilience indicators are determined for the maritime ferry technical system. Practical suggestions on reorganizing the operation process of this member of a shipping critical infrastructure to maximize its lifetime in the safety states not worse than the critical safety state are proposed.
Twórcy
  • Gdynia Maritime University, Gdynia, Poland
Bibliografia
  • [1] Bogalecka, M. 2020. Consequences of Maritime Critical Infrastructure Accidents - Environmental Impacts. Modeling - Identification - Prediction - Optimization - Mitigation. Elsevier, Amsterdam, Oxford, Cambridge (MA).
  • [2] Gouldby, B. P., Schultz, M. T., Simm, J. D. & Wibowo, J. L. 2010. Beyond the Factor of Safety: Developing Fragility Curves to Characterize System Reliability, Report in Water Resources Infrastructure Program ERDC SR-10-1, Prepared for Headquarters, U.S. Army Corps of Engineers, Washington.
  • [3] Klabjan, D. & Adelman, D. 2006. Existence of optimal policies for semi-Markov decision processes using duality for infinite linear programming. Society for Industrial and Applied Mathematics Control and Optimization 44(6), 2104-212.
  • [4] Kołowrocki, K. & Soszyńska-Budny, J. 2017. An overall approach to modeling operation threats and extreme weather hazards impact on critical infrastructure safety. Proceedings of 27th ESREL Conference, Portorož.
  • [5] Kołowrocki, K. & Soszyńska-Budny, J. 2018. Critical infrastructure impacted by operation safety and resilience indicators. Proceeding of 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Institute of Electrical and Electronics Engineers, Bangkok.
  • [6] Kołowrocki, K. & Soszyńska-Budny, J. 2018. Critical infrastructure safety indicators. Proceeding of 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Institute of Electrical and Electronics Engineers, Bangkok.
  • [7] Kołowrocki, K. 2014. Reliability of Large and Complex Systems, Elsevier, Amsterdam - Boston - Heidelberd - London - New York - Oxford - Paris - San Diego - San Francisco - Sidney - Tokyo.
  • [8] Kołowrocki, K. & Magryta, B. 2020. Safety of maritime ferry technical system impacted by operation process. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 2020 (to appear).
  • [9] Kołowrocki, K. & Soszyńska-Budny, J. 2011/2015. Reliability and Safety of Complex Technical Systems and Processes: Modeling - Identification - Prediction - Optimization. London, Dordrecht, Heidelberg, New York: Springer, English/Chinese Edition.
  • [10] Kołowrocki, K. & Soszyńska-Budny, J. 2016. Research Report D3.3-GMU3-CIOP Model1, Critical Infrastructure Operation Process (CIOP) CIOP Model 1, Gdynia Maritime University.
  • [11] Kołowrocki, K., Kuligowska, E. & SoszyńskaBudny, J. 2016. Maritime ferry critical infrastructure assets and interconnections. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 7(1), 105-110.
  • [12] Lauge, A. Hernantes, J. & Sarriegi, J .M. 2015. Critical infrastructure dependencies: a holistic, dynamic and quantitative approach. International Journal of Critical Infrastructure Protection 8, 16-23.
  • [13] Szymkowiak, M. 2018. Characterizations of distributions through aging intensity. IEEE Transactions on Reliability 67(2), 446-458.
  • [14] Szymkowiak, M. 2018. Generalized aging intensity functions. Reliability Engineering and System Safety 178(C), 198-208.
  • [15] Szymkowiak, M. 2019. Lifetime Analysis by Aging Intensity Functions. Monograph in series: Studies in Systems, Decision and Control (196), Springer International Publishing.
  • [16] Tang, H., Yin, BQ. & Xi, H. S. 2007. Error bounds of optimization algorithms for semiMarkov decision processes, International Journal of Systems Science 38(9).
  • [17] Torbicki, M. 2019. An approach to longtime safety and resilience prediction of critical infrastructure influenced by weather change processes, IEEE The International Conference on Information and Digital Technologies 2019 - IDT 2019, Žilina, Slovakia.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4c29344e-ce51-45ab-a497-10246be772ba
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