Analysis reuse exploiting taxonomical information and belief assignment in industrial problem solving
Author
Abstract
Suggested Citation
DOI: 10.1016/j.compind.2013.07.004
Note: View the original document on HAL open archive server: https://hal.science/hal-03526094
Download full text from publisher
References listed on IDEAS
- Monnin, Maxime & Iung, Benoit & Sénéchal, Olivier, 2011. "Dynamic behavioural model for assessing impact of regeneration actions on system availability: Application to weapon systems," Reliability Engineering and System Safety, Elsevier, vol. 96(3), pages 410-424.
- Paula Andrea Potes Ruiz & Bernard Kamsu-Foguem & Daniel Noyes, 2013. "Knowledge reuse integrating the collaboration from experts in industrial maintenance management," Post-Print hal-00861829, HAL.
- Aven, Terje & Zio, Enrico, 2011. "Some considerations on the treatment of uncertainties in risk assessment for practical decision making," Reliability Engineering and System Safety, Elsevier, vol. 96(1), pages 64-74.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Bernard Kamsu-Foguem & Philippe Clermont & Dieudonné Tchuente & Pierre Tiako & Samuel Fosso Wamba, 2023. "Service Provider Risk Mitigation in Aeronautics Supply Chains," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(4), pages 615-631, December.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Chao Zhang & Guanghui Zhou & Qi Lu & Fengtian Chang, 2017. "Graph-based knowledge reuse for supporting knowledge-driven decision-making in new product development," International Journal of Production Research, Taylor & Francis Journals, vol. 55(23), pages 7187-7203, December.
- Li, Yanfu & Zio, Enrico, 2012. "Uncertainty analysis of the adequacy assessment model of a distributed generation system," Renewable Energy, Elsevier, vol. 41(C), pages 235-244.
- Francis, Royce & Bekera, Behailu, 2014. "A metric and frameworks for resilience analysis of engineered and infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 90-103.
- Giulia Bruno & Teresa Taurino & Agostino Villa, 2018. "An approach to support SMEs in manufacturing knowledge organization," Journal of Intelligent Manufacturing, Springer, vol. 29(6), pages 1379-1392, August.
- Aven, Terje, 2013. "A conceptual framework for linking risk and the elements of the data–information–knowledge–wisdom (DIKW) hierarchy," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 30-36.
- Amro Nasr & Oskar Larsson Ivanov & Ivar Björnsson & Jonas Johansson & Dániel Honfi, 2021. "Towards a Conceptual Framework for Built Infrastructure Design in an Uncertain Climate: Challenges and Research Needs," Sustainability, MDPI, vol. 13(21), pages 1-19, October.
- Chien-Chang Hsu & Min-Sheng Chen, 2016. "Intelligent maintenance prediction system for LED wafer testing machine," Journal of Intelligent Manufacturing, Springer, vol. 27(2), pages 335-342, April.
- Ibsen Chivatá Cárdenas & Saad S.H. Al‐Jibouri & Johannes I.M. Halman & Frits A. van Tol, 2014. "Modeling Risk‐Related Knowledge in Tunneling Projects," Risk Analysis, John Wiley & Sons, vol. 34(2), pages 323-339, February.
- Nguyen, Son & Chen, Peggy Shu-Ling & Du, Yuquan & Shi, Wenming, 2019. "A quantitative risk analysis model with integrated deliberative Delphi platform for container shipping operational risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 203-227.
- Zio, E., 2018. "The future of risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 176-190.
- Bing Wu & Huibin Tian & Xinping Yan & C. Guedes Soares, 2020. "A probabilistic consequence estimation model for collision accidents in the downstream of Yangtze River using Bayesian Networks," Journal of Risk and Reliability, , vol. 234(2), pages 422-436, April.
- Baraldi, Piero & Podofillini, Luca & Mkrtchyan, Lusine & Zio, Enrico & Dang, Vinh N., 2015. "Comparing the treatment of uncertainty in Bayesian networks and fuzzy expert systems used for a human reliability analysis application," Reliability Engineering and System Safety, Elsevier, vol. 138(C), pages 176-193.
- Ripamonti, G. & Lonati, G. & Baraldi, P. & Cadini, F. & Zio, E., 2013. "Uncertainty propagation in a model for the estimation of the ground level concentration of dioxin/furans emitted from a waste gasification plant," Reliability Engineering and System Safety, Elsevier, vol. 120(C), pages 98-105.
- Peng Hou & Xiaojian Yi & Haiping Dong, 2020. "A Spatial Statistic Based Risk Assessment Approach to Prioritize the Pipeline Inspection of the Pipeline Network," Energies, MDPI, vol. 13(3), pages 1-16, February.
- Aven, Terje, 2013. "Probabilities and background knowledge as a tool to reflect uncertainties in relation to intentional acts," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 229-234.
- Deyun Zhou & Yongchuan Tang & Wen Jiang, 2017. "An Improved Belief Entropy and Its Application in Decision-Making," Complexity, Hindawi, vol. 2017, pages 1-15, March.
- Aven, Terje, 2013. "Practical implications of the new risk perspectives," Reliability Engineering and System Safety, Elsevier, vol. 115(C), pages 136-145.
- Tang, Yang & Liu, Qingyou & Jing, Jiajia & Yang, Yan & Zou, Zhengwei, 2017. "A framework for identification of maintenance significant items in reliability centered maintenance," Energy, Elsevier, vol. 118(C), pages 1295-1303.
- Aven, Terje & Krohn, Bodil S., 2014. "A new perspective on how to understand, assess and manage risk and the unforeseen," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 1-10.
- Tosoni, E. & Salo, A. & Govaerts, J. & Zio, E., 2019. "Comprehensiveness of scenarios in the safety assessment of nuclear waste repositories," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 561-573.
More about this item
Keywords
Root cause analysis; Semantic similarity; Transferable belief model; Experience feedback; Railway industry;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-03526094. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.