A hybrid model for learning from failures. (1st March 2018)
- Record Type:
- Journal Article
- Title:
- A hybrid model for learning from failures. (1st March 2018)
- Main Title:
- A hybrid model for learning from failures
- Authors:
- Stephen, Calvin
Labib, Ashraf - Abstract:
- Highlights: Apply reliability and multiple criteria decision analysis techniques to a case study of a disaster. Classify hybrid approaches to modelling. Value of hybrid modelling is identified and applied to a case study. Integration of AHP and FMEA is of value. Abstract: In this paper we propose the usage of a hybrid of techniques as complementary tools in decision analysis for learning from failures and the reason behind systems failure. We demonstrate the applicability of these tools through an aviation case study, where an accident investigation report was obtained from the Directorate of Accident Investigation in the Ministry of Transport and Communications in Botswana to provide as a basis for the application of the model. The report included all the factual information required to carry out the investigation using the hybrid of FTA, RBD, AHP, HoQ and the DMG tools. We discuss the steps followed in applying the tools in the process of learning from failure. It also shows the importance of such tools in accident investigations by showing the importance of prioritising the available options in order of their importance to the accident under investigation. Most of the available research in learning from failure focuses mostly on the direct causal factors of the failure event. Here we provide a holistic approach to learning from failure by focusing on both direct and indirect causes of a failure event through the use of Reliability Engineering tools, Multi CriteriaHighlights: Apply reliability and multiple criteria decision analysis techniques to a case study of a disaster. Classify hybrid approaches to modelling. Value of hybrid modelling is identified and applied to a case study. Integration of AHP and FMEA is of value. Abstract: In this paper we propose the usage of a hybrid of techniques as complementary tools in decision analysis for learning from failures and the reason behind systems failure. We demonstrate the applicability of these tools through an aviation case study, where an accident investigation report was obtained from the Directorate of Accident Investigation in the Ministry of Transport and Communications in Botswana to provide as a basis for the application of the model. The report included all the factual information required to carry out the investigation using the hybrid of FTA, RBD, AHP, HoQ and the DMG tools. We discuss the steps followed in applying the tools in the process of learning from failure. It also shows the importance of such tools in accident investigations by showing the importance of prioritising the available options in order of their importance to the accident under investigation. Most of the available research in learning from failure focuses mostly on the direct causal factors of the failure event. Here we provide a holistic approach to learning from failure by focusing on both direct and indirect causes of a failure event through the use of Reliability Engineering tools, Multi Criteria Decision Making tools and House of Quality. … (more)
- Is Part Of:
- Expert systems with applications. Volume 93(2018)
- Journal:
- Expert systems with applications
- Issue:
- Volume 93(2018)
- Issue Display:
- Volume 93, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 93
- Issue:
- 2018
- Issue Sort Value:
- 2018-0093-2018-0000
- Page Start:
- 212
- Page End:
- 222
- Publication Date:
- 2018-03-01
- Subjects:
- Decision analysis -- Multiple criteria -- Decision making
Expert systems (Computer science) -- Periodicals
Systèmes experts (Informatique) -- Périodiques
Electronic journals
006.33 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09574174 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.eswa.2017.10.031 ↗
- Languages:
- English
- ISSNs:
- 0957-4174
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3842.004220
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 5359.xml