PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Maritime transportation system safety and operation cost joint optimization

Treść / Zawartość
Identyfikatory
Warianty tytułu
Konferencja
16th Summer Safety & Reliability Seminars - SSARS 2022, 4-11 September 2022, Ciechocinek, Poland
Języki publikacji
EN
Abstrakty
EN
The model of system safety impacted by operation process is created and the procedure of its safety in the safety state subsets not worse than the critical safety state maximization is proposed. The model of system operation total costs in the safety state subsets is introduced and the procedure of its operation total cost in the safety state subset not worse than the critical safety state minimization is presented. To analyze jointly the system safety and its operation cost optimization, we propose determining the optimal values of limit transient probabilities of the system operation process at the particular operation states that allows to find the best system safety function and other safety indicators, utilizing the created system safety model and linear programming. Next, to find the system operation total costs in the safety state subsets, corresponding to this system best safety indicators, we replace the limit transient probabilities at the particular operation states, existing in the formula for the system operation total costs in the safety state subsets, by their optimal values existing in the formulae for the coordinates of the system safety function after maximization. On the other hand, to analyze jointly the system operation cost and it’s safety optimization, we propose the procedure of determining the optimal values of limit transient probabilities of the system operation process at the particular operation states that allows to find minimal system operation total cost in the safety state subset not worse than the critical safety state, using the created system operation cost model and linear programming. After that, to find the system conditional safety indicators, corresponding to this system minimal total operation cost in the safety state subset not worse than the critical safety state, we replace the limit transient probabilities at particular operation states, existing in the formula for the system safety function coordinates, and for remaining system conditional safety indicators by their optimal values existing in the formulae for the system minimal total cost in the safety state subsets not worse than the critical safety state. The created models are applied separately and jointly to the maritime transportation system. Moreover, to fulfil the obtained maritime transportation system optimal safety and operation cost results the modifications of its operation process is proposed. The evaluation of results is performed and future research in the field of the complex systems, including maritime transportation systems, safety and their operation costs joint analysis and optimization is proposed.
Bibliografia
  • Bogalecka, M. 2020. Consequences of Maritime Critical Infrastructure Accidents - Environmental Impacts. Elsevier, Amsterdam-Oxford-Cambridge.
  • Dąbrowska, E. 2020a. Monte Carlo simulation approach to reliability analysis of complex systems. Journal of KONBiN 50(1), 155-170.
  • Dąbrowska, E. 2020b. Safety analysis of car wheel system impacted by operation process. K. Kołowrocki et al. (Eds.).Safety and Reliability of Systems and Processes, Summer Safety and Reliability Seminar 2020. Gdynia Maritime University, Gdynia, 61-75.
  • Dąbrowska, E. & Kołowrocki, K. 2019a. Modelling, identification and prediction of oil spill domains at port and sea water areas. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 10(1), 43-58.
  • Dąbrowska, E. & Kołowrocki, K. 2019b. Stochastic determination of oil spill domain at Gdynia Port water area. Proceedings of 2019 International Conference on Information and Digital Technologies (IDT), Žilina, IEEE, 92-97.
  • Dąbrowska, E. & Kołowrocki, K. 2020a. Hydro-meteorological change process impact on oil spill domain movement at sea. Theory and Applications of Dependable Computer Systems, Proceedings of the 15th International Conference on Dependability of Computer Systems, DepCos-Relcomex, Springer, 165-175.
  • Dąbrowska, E. & Kołowrocki, K. 2020b. Monte Carlo simulation approach to determination of oil spill domains at port and sea water areas. TransNav - The International Journal on Marine Navigation and Safety of Sea Transportation 14(1), 59-64.
  • Dąbrowska, E. & Kołowrocki, K. 2020c. Probabilistic approach to determination of oil spill domains at port and sea water areas. TransNav - The International Journal on Marine Navigation and Safety of Sea Transportation 14(1), 51-58.
  • Ferreira, F. & Pacheco, A. 2007. Comparison of level-crossing times for Markov and semi-Markov processes. Statistics & Probability Letters 77(2), 151-157.
  • Gdynia Maritime University Critical Infrastructure Safety Interactive Platform, http://gmu.safety.umg.edu.pl/ (accessed 13 February 2020).
  • Glynn, P.W. & Haas, P.J. 2006. Laws of large numbers and functional central limit theorems for generalized semi-Markov processes. Stochastic Model 22(2), 201-231.
  • Gouldby, B.P., Schultz, M.T., Simm, J.D. & Wibowo, J.L. 2010. Beyond theFactor of Safety: Developing Fragility Curves to Characterize System Reliability, Report in Water Resources Infrastructure Program ERDC SR-10-1. U.S. Army Corps of Engineers, Washington.
  • Grabski, F. 2002. Semi-Markov Models of Systems Reliability and Operations Analysis. System Research Institute, Polish Academy of Science (in Polish).
  • Grabski, F. 2015. Semi-Markov Processes: Application in System Reliability and Maintenance. Elsevier, Amsterdam - Boston - Heidelberd - London - New York - Oxford - Paris - San Diego - San Francisco - Sydney - Tokyo.
  • Habibullah, M.S., Lumanpauw, E., Kołowrocki, K., Soszyńska, J. & Ming, N.G.A. 2009. Computational tool for general model of industrial systems operation processes. Electronic Journal Reliability: Theory & Applications 2(4), 181-191.
  • 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.
  • Kołowrocki, K. 2014. Reliability of Large and Complex Systems. Elsevier, Amsterdam - Boston - Heidelberd - London - New York - Oxford - Paris - San Diego - San Francisco - Singapore - Sydney - Tokyo.
  • Kołowrocki, K. 2020. Examination of the safety of a port oil terminal. Scientific Journalof the Maritime University of Szczecin 61(133), 143-151.
  • Kołowrocki, K. 2021. Safety analysis of critical infrastructure impacted by operation and climate-weather changes - theoretical backgrounds. K. Kołowrocki et al. (Eds.). Safety and Reliability of Systems and Processes, Summer Safety and Reliability Seminar 2021. Gdynia Maritime University, Gdynia, 139-180.
  • Kołowrocki, K. 2022. Safety analysis of multistate ageing system with inside dependences and outside impacts. Current Research in Mathematical and Computer Sciences III. A. Lecko (Ed.). University of Warmia and Mazury Press, 175-214.
  • Kołowrocki, K. & Kuligowska, E. 2018. Operation and climate-weather change impact on maritime ferry safety. Safety and Reliability - Safe Societies in a Changing World. Taylor and Francis, 849-854.
  • Kołowrocki, K., Kuligowska, E. & Soszyńska-Budny, 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.
  • Kołowrocki, K. & Magryta, B. 2020a. Changing system operation states influence on its total operation cost. Theory and Applications of Dependable Computer Systems, Proceedings of the 15th International Conference on Dependability of Computer Systems, DepCos-Relcomex, Springer, 355-365.
  • Kołowrocki, K. & Magryta, B. 2020b. Port Oil Terminal Reliability Optimization. Scientific Journals Maritime University of Szczecin 62(134), 161-167.
  • Kołowrocki, K. & Magryta-Mut, B. 2020c. Safety of maritime ferry technical system impacted by operation process. K. Kołowrocki et al. (Eds.). Safety and Reliability of Systems and Processes, Summer Safety and Reliability Seminar 2020. Gdynia Maritime University, Gdynia, 117-134.
  • Kołowrocki, K. & Magryta-Mut, B. 2022. Operation cost and safety optimization of maritime transportation system. Current Research in Mathematical and Computer Sciences III”. A. Lecko (Ed.). University of Warmia and Mazury Press, 215-248.
  • Kołowrocki, K. & Soszyńska, J. 2010a. Reliability availability and safety of complex technical systems: modelling - identification - prediction - optimization. Summer Safety & Reliability Seminars. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 4(1), 133-158.
  • Kołowrocki, K. & Soszyńska, J. 2010b. Reliability modeling of a port oil transportation system’s operation processes. International Journal of Performability Engineering 6(1), 77-87.
  • Kołowrocki, K. & Soszyńska-Budny, J. 2011/2015. Reliability and Safety of Complex Technical Systems and Processes: Modeling - Identification - Prediction - Optimization. Springer, English/Chinese Edition, London, Dordrecht, Heidelberg, New York.
  • Kołowrocki, K. & Soszyńska-Budny, J. 2018a. 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, 1765-1769.
  • Kołowrocki, K. & Soszyńska-Budny, J. 2018b. Critical infrastructure safety indicators. Proceeding of 2018 IEEE International Conference on Industrial Engineering and Engineering Management(IEEM), Institute of Electrical and Electronics Engineers, Bangkok, 1761-1764.
  • Kołowrocki, K. & Soszyńska-Budny, J. 2019a. Safety indicators of critical infrastructure application to port oil terminal examination. Proceedings of 29th International Ocean and Polar Engineering Conference, Honolulu.
  • Kołowrocki, K. & Soszyńska-Budny, J. 2019b. Safety and resilience indicators of critical infrastructure impacted by operation application to port oil terminal examination. TransNav - The International Journal on Marine Navigation and Safety of Sea Transportation 13(4), 761-769.
  • 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.
  • Limnios, N. & Oprisan, G. 2001. Semi-Markov Processes and Reliability. Birkhauser. Boston.
  • Magryta, B. 2020. Reliability approach to resilience of critical infrastructure impacted by operation process. Journal of KONBiN 50(1), 131-153.
  • Magryta-Mut, B. 2020. Safety optimization of maritime ferry technical system. K. Kołowrocki et al. (Eds.).Safety and Reliability of Systems and Processes, Summer Safety and Reliability Seminar 2020. Gdynia Maritime University, Gdynia, 175-182.
  • Magryta-Mut, B. 2021. Safety and Operation Cost Optimization of Port and Maritime Transportation System. PhD Thesis (under completing).
  • Mercier, S. 2008. Numerical bounds for semi-Markovian quantities and application to reliability. Methodology and Computing in Applied Probability 10(2), 179-198.
  • Szymkowiak, M. 2018a. Characterizations of distributions through aging intensity. IEEE Transactions on Reliability 67(2), 446-458.
  • Szymkowiak, M. 2018b. Generalized aging intensity functions. Reliability Engineering and System Safety 178(C), 198-208.
  • Szymkowiak, M. 2019. Lifetime Analysis by Aging Intensity Functions. Monograph in series: Studies in Systems, Decision and Control (196), Springer International Publishing.
  • Tang, H., Yin, B.Q. & Xi, H.S. 2007. Error bounds of optimization algorithms for semi-Markov decision processes. International Journal of Systems Science 38(9), 725-736.
  • Torbicki, M. 2019a. An approach to longtime safety and resilience prediction of critical infrastructure influenced by weather change processes. Proceedings of 2019 International Conference on Information and Digital Technologies (IDT), Žilina, IEEE, 492-496.
  • Torbicki, M. 2019b. The longtime safety and resilience prediction of the Baltic oil terminal. Proceedings of 2019 International Conference on Information and Digital Technologies (IDT), Žilina, IEEE, 497-503.
  • Torbicki, M. & Drabiński, B. 2020. An application determining weather impact on critical infrastructure safety and resilience. K. Kołowrocki et al. (Eds.). Safety and Reliability of Systems and Processes, Summer Safety and Reliability Seminar 2020. Gdynia Maritime University, Gdynia, 231-242.
  • Xue, J. 1985. On multi-state system analysis. IEEE Transactions on Reliability 34, 329-337.
  • Xue, J & Yang, K. 1995. Dynamic reliability analysis of coherent multi-state systems. IEEE Transactions on Reliability 4(44), 683-688.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c67a3003-1d4c-42a6-a076-215cf7bf2cc8
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.