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Port oil terminal operation cost optimization

Treść / Zawartość
Identyfikatory
Warianty tytułu
Konferencja
17th Summer Safety & Reliability Seminars - SSARS 2023, 9-14 July 2023, Kraków, Poland
Języki publikacji
EN
Abstrakty
EN
The operation model of a complex system changing its functional structure and its instantaneous operation costs during the variable at time operation states and linear programming are proposed to optimize the system operation process in order to get the system total operation cost minimal. The optimization method allowing to find the optimal values of the transient probabilities of the complex system operation process at the particular operation state that minimize the system total operation cost mean value under the assumption that the system conditional operation costs mean values at the particular operation states are fixed or in the safety state subset not worse than the critical safety state are presented. The procedure of finding the optimal mean value of system total operation cost for the fixed operation time or in the safety state subset not worse than the critical safety state are applied to the port oil terminal operation cost minimization.
Twórcy
Bibliografia
  • Bogalecka, M. 2020. Consequences of Maritime Critical Infrastructure Accidents - Environmental Impacts. Elsevier, Amsterdam - Oxford - Cambridge.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.
  • Ferreira, F. & Pacheco, A. 2007. Comparison of level-crossing times for Markov and semi-Markov processes. Statistics & Probability Letters 77(2), 151-157.
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  • 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, 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. 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. & 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. 2022a. 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. & Magryta-Mut, B. 2022b. 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 2022. Gdynia Maritime University, Gdynia, 103-126.
  • 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. 2019a. Safety indicators of critical infrastructure application to port oil terminal examination. Proceedings of 29th International Ocean and Polar Engineering Conference, Honolulu, paper ISOPE-I-19-127.
  • 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. 2023. Operation Cost Optimization of Complex Multistate Ageing Technical Systems. 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.
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  • Xue, J. 1985. On multi-state system analysis. IEEE Transactions on Reliability 34, 329-337.
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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-ca04f374-d2d3-4bbf-af61-cdc1d137a13a
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