A probabilistic model to evaluate the resilience of unattended machinery plants in autonomous ships
Abaei, M. M., Hekkenberg, R., BahooToroody, A., Valdez Banda, O., van Gelder, P. (2022).
Reliability Engineering & System Safety 221.
Julkaisut
Tieteelliset julkaisut
Prognostic health management of repairable ship systems through different autonomy degree; From current condition to fully autonomous ship
BahooToroody, A., Abaei, M. M., Valdez Banda, O., Kujala, P., De Carlo, F., Abbassi, R. (2022).
Reliability Engineering & System Safety 221.
On reliability assessment of ship machinery system in different autonomy degree; A Bayesian-based approach
BahooToroody, A., Abaei, M. M., Valdez Banda, O., Montewka, J., Kujala, P. (2022).
Ocean Engineering 254.
A decision-making framework for selecting an MBSE language–A case study to ship pilotage
Basnet, S., Bahootoroody, A., Chaal, M., Valdez Banda, O. A., Lahtinen, J., Kujala, P. (2022).
Expert Systems with Applications 193
The policy operations room: Analyzing path-dependent decision-making in wicked socio-ecological disruptions
Hukkinen, J., Eronen, J. T., Janasik, N., Kuikka, S., Lehikoinen, A., Lund, P. D., Räisänen H., Virtanen, M. J. (2022).
Safety Science 146
Low Emission Choices in Freight Transport: Comparing Land and Short Sea Shipping Alternatives
Hämäläinen, E., Inkinen, T., Olaniyi, E.O. (2022).
In: Freitag, M., Kinra, A., Kotzab, H., Megow, N. (eds) Dynamics in Logistics. LDIC 2022. Lecture Notes in Logistics. Springer, Cham.
Sustainable Mobility and Transport
Inkinen, T., Yigitcanlar, T., Wilson, M. (eds.) (2022).
Special Issue in Sustainability (a printed edition).
Goal-based optimization in Arctic offshore support vessel design and fleet composition
Kondratenko, A. (2022).
Doctoral thesis. Aalto university, Department of Mechanical Engineering.
An Artificial Bee Colony optimization-based approach for sizing and composition of Arctic offshore drilling support fleets considering cost-efficiency
Kondratenko, A., Bergström, M., Suominen, M. & P. Kujala (2022).
Ship Technology Research, 69:2, 65-88
A hierarchical Bayesian regression framework for enabling online reliability estimation and condition-based maintenance through accelerated testing.
Leoni, L., De Carlo, F., Abaei, M. M., BahooToroody, A. (2022).
Computers in Industry 139.
Developing fuzzy logic strength of evidence index and application in Bayesian networks for system risk management
Lu, L., Goerlandt, F., Valdez Banda, O. A. & P. Kujala (2022).
Expert Systems with Applications 192.
Clean Cruise Shipping: Experience from the BSR
Olaniyi, E.O., Prause, G., Gerasimova, V., Inkinen, T. (2022)
Sustainability, 14, 5002.
Muut julkaisut
Developing and Implementing Joint Simulator Training for Oil Spill Response
Final report (WP3). Antti Lanki, Anna, Kiviniitty, Riitta Kajatkari & Simo Norema, Southeast Finland University of Applied Science 2022.
Jätevesialtaasta öljyntorjunta-altaaksi. Öljyntorjunnan testaus- ja harjoitusympäristön kehittäminen
Halonen, J. (toim.) 2022.
Xamk Kehittää 188. Kaakkois-Suomen ammattikorkeakoulu, Kotka.
Öljyntorjunta-altaalta todennettua tietoa ympäristövahinkoihin varautumiseen.
Halonen, J. Xamk READ 2/2022. Kaakkois-Suomen ammattikorkeakoulun verkkolehti.
