The DOI matches its Crossref record.
The use of Bayesian network modelling for maintenance planning in a manufacturing industry
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Due to lack of comprehensive data, validation is performed through a sensitivity analysis in line with Jones et al. (2010).
“Due to lack of comprehensive data, our validation is performed through a sensitivity analysis in line with Jones et al. (2010).”
From A BN driven FMEA approach to assess maritime cybersecurity risks (2023) · cites this paper as Jones et al., 2010
A robust model should satisfy Axiom 1 and Axiom 2.
“If the model is robust, it should at least satisfy the following two axioms (Jones et al., 2010).”
From A BN driven FMEA approach to assess maritime cybersecurity risks (2023) · cites this paper as Jones et al., 2010
Given the variation of the probability distributions of each cyber threat, its influence magnitude on the risk values should keep consistency.
“Given the variation of the probability distributions of each cyber threat, its influence magnitude on the risk values should keep consistency.”
From A BN driven FMEA approach to assess maritime cybersecurity risks (2023) · cites this paper as Jones et al., 2010
An increase/decrease in the probabilities of each cyber threat should generate a relative increase/decrease to the risk.
“An increase/decrease in the probabilities of each cyber threat should generate a relative increase/decrease to the risk.”
From A BN driven FMEA approach to assess maritime cybersecurity risks (2023) · cites this paper as Jones et al., 2010
Citations
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No references could be resolved yet.
Research works printed but not linked: 15
- Wang, 2009, An inspection model for a process with two types of inspections and repairs, Reliability Engineering & System Safety, 94, 526, 10.1016/j.ress.2008.06.010 · DOI
- Jones BJ. (2009). A risk-based maintenance methodology of industrial systems. PhD thesis, School of Engineering, Liverpool John Moores University, UK.
- Jones, 2009, Methodology for using delay-time analysis for a manufacturing industry, Reliability Engineering & System Safety, 94, 111, 10.1016/j.ress.2007.12.005 · DOI
- Aven, 1991, A note on how we should express and interpret the results of stochastic maintenance optimisation models, Journal of Quality in Maintenance Engineering, 5, 141, 10.1108/13552519910271847 · DOI
- Nadkarni, 2001, A Bayesian network approach to make inferences in causal maps, European Journal of Operational Research, 128, 479, 10.1016/S0377-2217(99)00368-9 · DOI
- Chen, 2002, Probabilistic modelling and evaluation of collision between shuttle tanker and FPSO in tandem offloading, Reliability Engineering & System Safety, 84, 169, 10.1016/j.ress.2003.10.015 · DOI
- Eleye-Datubo, 2006, Enabling a powerful marine and offshore decision-support solution through Bayesian network technique, Risk Analysis, 26, 695, 10.1111/j.1539-6924.2006.00775.x · DOI
- Eleye-Datubo, 2008, Marine and offshore safety assessment by incorporative risk modelling in a fuzzy-Bayesian network of an induced mass assignment paradigm, Risk Analysis, 8, 95, 10.1111/j.1539-6924.2008.01004.x · DOI
- Abad-Grau, 2006, Operations strategy and flexibility with Bayesian classifiers, Industrial Management and Data Systems, 106, 460, 10.1108/02635570610661570 · DOI
- Percy, 1996, Preventative maintenance modelling, a Bayesian perspective, Journal of Quality in Maintenance Engineering, 2, 15, 10.1108/13552519610113818 · DOI
- Ke, 1999, Integrated Bayesian reliability assessment during equipment development, Journal of Quality & Reliability Management, 16, 892, 10.1108/02656719910295440 · DOI
- Ren, 2009, An offshore risk analysis method using fuzzy Bayesian network, Journal of Offshore Mechanics and Arctic Engineering—Transactions of the ASME, 131
- Yang, 2008, Fuzzy rule-based bayesian reasoning approach for prioritization of failures in FMEA, IEEE Transactions on Reliability, 57, 517, 10.1109/TR.2008.928208 · DOI · Paper page
- Environmental protection act 1990. Office of Public Sector Information, UK (Chapter 43).
- Pearl, J. Causality: Models, Reasoning and Inference. Cambridge University Press. New York. USA. 2000.
Cited by
Sorted by citations
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-citation
Metadata
- Authors
- Jones, B., Jenkinson, I., Yang, Z., & Wang, J.
- Affiliations
- Liverpool John Moores University (GB)
- Corresponding author
- Wang, J.
- Venue
- Reliability Engineering & System Safety
- Publisher
- Elsevier BV
- Published
- 2010-03
- Volume
- 95
- Issue
- 3
- Pages
- 267-277
- ISSN
- 0951-8320 (ISSN-L)
- OpenAlex
- W2018571157
- Cited by
- 330
- References
- 0
- Citations by year
- 2026: 37 · 2025: 35 · 2024: 38 · 2023: 35 · 2022: 27 · 2021: 32 · 2020: 23 · 2019: 18 · 2018: 16 · 2017: 10 · 2016: 10 · 2015: 10 · 2014: 11 · 2013: 10 · 2012: 11
- FWCI
- 17.04
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Reliability Engineering & System Safety (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Reliability and Maintenance Optimization
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Risk and Safety Analysis
- Physical Sciences › Computer Science › Artificial Intelligence › Bayesian Modeling and Causal Inference
- Keywords
- Bayesian networks, maintenance planning, failure rate, delay analysis, failure probability, manufacturing systems, inspection, reliability modeling
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