The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Risk assessment of the operations of maritime autonomous surface ships
Abstract
Abstract Maritime Autonomous Surface Ships (MASS) are attracting increasing attention in the maritime industry. Despite the expected benefits in reducing human error and significantly increasing the overall safety level, the development of autonomous ships would undoubtedly introduce new risks. The overall goal of this work is to develop an approach to evaluate the risk level of major hazards associated with MASS. To that extent, a Failure Modes and Effects Analysis (FMEA) method is used in conjunction with Evidential Reasoning (ER) and Rule-based Bayesian Network (RBN) to quantify the risk levels of the identified hazards. The results show that ‘interaction with manned vessels and detection of objects’ contributes the most to the overall risk of MASS operations, followed by ‘cyber-attacks’, ‘human error’ and ‘equipment failure’. The findings provide useful insights on the major hazards and can aid the overall safety assurance of MASS.
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“For shipping safety and security incidents, human factor has been recognised as a critical factor that directly and indirectly causes around 80-90% of accidents (Heij and Knapp, 2018;Chang et al., 2021).”
From A BN driven FMEA approach to assess maritime cybersecurity risks (2023) · cites this paper as Chang et al., 2021
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Cites
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Modified failure mode and effects analysis using approximate reasoning
Pillay, A., & Wang, J. (2003) · Reliability Engineering & System Safety · doi:10.1016/s0951-8320(02)00179-5 · Cited by 581
Fuzzy rule-based Bayesian reasoning approach for prioritization of failures in FMEA
Yang, Z., Bonsall, S., & Wang, J. (2008) · IEEE Transactions on Reliability · doi:10.1109/tr.2008.928208 · Cited by 346
Self-citationTowards the assessment of potential impact of unmanned vessels on maritime transportation safety
Wróbel, K., Montewka, J., & Kujala, P. (2017) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2017.03.029 · Cited by 341
The use of Bayesian network modelling for maintenance planning in a manufacturing industry
Jones, B., Jenkinson, I., Yang, Z., & Wang, J. (2010) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2009.10.007 · Cited by 330
Self-citationFailure mode and effects analysis using fuzzy evidential reasoning approach and grey theory
Liu, H.-C., Liu, L., Bian, Q.-H., Lin, Q.-L., Dong, N., & Xu, P.-C. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2010.09.110 · Cited by 269
An advanced fuzzy Bayesian-based FMEA approach for assessing maritime supply chain risks
Wan, C., Yan, X., Zhang, D., Qu, Z., & Yang, Z. (2019) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2019.03.011 · Cited by 229
Self-citationA framework to identify factors influencing navigational risk for Maritime Autonomous Surface Ships
Fan, C., Wróbel, K., Montewka, J., Gil, M., Wan, C., & Zhang, D. (2020) · Ocean Engineering · doi:10.1016/j.oceaneng.2020.107188 · Cited by 218
Collision avoidance on maritime autonomous surface ships: Operators’ tasks and human failure events
Abilio Ramos, M., Utne, I. B., & Mosleh, A. (2019) · Safety Science · doi:10.1016/j.ssci.2019.02.038 · Cited by 200
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Cited by
A BN driven FMEA approach to assess maritime cybersecurity risks
Park, C., Kontovas, C., Yang, Z., & Chang, C.-H. (2023) · Ocean & Coastal Management · doi:10.1016/j.ocecoaman.2023.106480 · Cited by 98
Self-citationMaritime cybersecurity: are onboard systems ready?
Kanwal, K., Shi, W., Kontovas, C., Yang, Z., & Chang, C.-H. (2024) · Maritime Policy & Management · doi:10.1080/03088839.2022.2124464 · Cited by 68
Self-citationYoo, Y., & Park, H.-S. (2021) · Journal of Marine Science and Engineering · doi:10.3390/jmse9060565 · Cited by 47
A Concept of Risk Prioritization in FMEA Analysis for Fluid Power Systems
Fabis-Domagala, J., Domagala, M., & Momeni, H. (2021) · Energies · doi:10.3390/en14206482 · Cited by 31
Metadata
- Authors
- Chang, C.-H., Kontovas, C., Yu, Q., & Yang, Z.
- Venue
- Reliability Engineering & System Safety
- Publisher
- Elsevier BV
- Published
- 2021-03
- Volume
- 207
- Pages
- 107324
- ISSN
- 0951-8320 (ISSN-L)
- OpenAlex
- W3103062648
- Cited by
- 316
- References
- 45
- FWCI
- 19.42
- Type
- journal article
- Language
- en
- Open access
- closed
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- Chang, C.-H., Kontovas, C., Yu, Q., & Yang, Z. (2021). Risk assessment of the operations of maritime autonomous surface ships. Reliability Engineering & System Safety. https://doi.org/10.1016/j.ress.2020.107324
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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