Port oil terminal reliability optimization

• Autorzy: Magryta Beata , Kołowrocki Krzysztof

Identyfikatory

DOI

10.17402/431

• Języki publikacji: EN

Abstrakty

EN

A method for reliability optimization, which is relevant for critical infrastructure activity governed by operational processes, is presented and applied to a port oil terminal. The optimal values for the reliability and resilience indicators related to the operation, are determined for this critical type of infrastructure. Simple suggestions regarding optimized infrastructural operation strategies are formulated and implemented towards reorganizing the port oil terminal processes in order to maximize its lifetime in defined reliability states.

Słowa kluczowe

EN

critical infrastructure; operation; optimization; port oil terminal; reliability; resilience

• Wydawca: Wydawnictwo Naukowe Akademii Morskiej w Szczecinie
• Czasopismo: Zeszyty Naukowe Akademii Morskiej w Szczecinie
• Rocznik: 2020
• Tom: nr 62 (134)
• Strony: 161--167
• Opis fizyczny: Bibliogr. 8 poz., rys.

Twórcy

autor

Magryta Beata

• Gdynia Maritime University 81-87 Morska St., 81-225 Gdynia, Poland

autor

Kołowrocki Krzysztof

• Gdynia Maritime University 81-87 Morska St., 81-225 Gdynia, Poland

Bibliografia

• 1. Bogalecka, M. (2019) Consequences of Maritime Critical Infrastructure Accidents – Environmental Impacts. Elsevier.
• 2. 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), pp. 2104–2122.
• 3. Kołowrocki, K. & Soszyńska-Budny, J. (2011) Reliability and Safety of Complex Technical Systems and Processes: Modeling – Identification – Prediction – Optimization. London, Dordrecht, Heidelberg, New York: Springer.
• 4. Kołowrocki, K. & Soszyńska-Budny, J. (2015) Reliability and Safety of Complex Technical Systems and Processes. Springer. Chinese Edition.
• 5. Laugé, A., Hernantes, J. & Sarriegi, J.M. (2015) Critical infrastructure dependencies: A holistic, dynamic and quantitative approach. International Journal of Critical Infrastructure Protection 8, pp. 16–23.
• 6. Magryta, B. (2019) Reliability approach to resilience of critical infrastructure impacted by operation process. Proc. Xth Conference “Technical Diagnostics of Equipment and Systems” – DIAG’19. May 20–24, 2019, Augustów.
• 7. Tang, H., Yin, B.-Q. & Xi, H.-S. (2007) Error bounds of optimization algorithms for semi-Markov decision processes. International Journal of Systems Sciences 38 (9), pp. 725–736.
• 8. 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, June 25–27, 2019, Žilina, Slovakia.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).