Improved DEMATEL methodology for effective safety management decision-making. (July 2020)
- Record Type:
- Journal Article
- Title:
- Improved DEMATEL methodology for effective safety management decision-making. (July 2020)
- Main Title:
- Improved DEMATEL methodology for effective safety management decision-making
- Authors:
- Yazdi, Mohammad
Khan, Faisal
Abbassi, Rouzbeh
Rusli, Risza - Abstract:
- Highlights: A systematic approach is proposed to build causal decision-making models. The proposed approach combined multi-criteria decision making tools and a Bayesian Network. The resulting models are based on knowledge elicited from multiple experts. The proposed approach is applied to a safety management system case study. The model's advantages is evaluated with different available approaches. Abstract: Decision-making is a critical step in safety and risk analysis. Decision-making is conducted according to the different sources of information often elicited from filed matter and subject matter experts. Many team-based decision-making methods are developed to identify hazards, determine intervention actions, and to prioritize the efforts to reduce the risk in given conditions. However, the majority of decision-making methods are based on idealistic assumptions such as risk contributing factor in a complex system and independency between the factors. In reality, there is strong interaction among the risk factors and also among the sources of information used in decision-making procedure. There is a requirement to use a decision-making framework that captures the dependency of the risk factors and the source of information. This is achieved by integrating DEMATEL (decision-making trial and evaluation laboratory) methodology with Best-Worst method (BWM) and Bayesian network (BN). The integration is considered at two different stages in the DEMATEL methodology. ApplicationHighlights: A systematic approach is proposed to build causal decision-making models. The proposed approach combined multi-criteria decision making tools and a Bayesian Network. The resulting models are based on knowledge elicited from multiple experts. The proposed approach is applied to a safety management system case study. The model's advantages is evaluated with different available approaches. Abstract: Decision-making is a critical step in safety and risk analysis. Decision-making is conducted according to the different sources of information often elicited from filed matter and subject matter experts. Many team-based decision-making methods are developed to identify hazards, determine intervention actions, and to prioritize the efforts to reduce the risk in given conditions. However, the majority of decision-making methods are based on idealistic assumptions such as risk contributing factor in a complex system and independency between the factors. In reality, there is strong interaction among the risk factors and also among the sources of information used in decision-making procedure. There is a requirement to use a decision-making framework that captures the dependency of the risk factors and the source of information. This is achieved by integrating DEMATEL (decision-making trial and evaluation laboratory) methodology with Best-Worst method (BWM) and Bayesian network (BN). The integration is considered at two different stages in the DEMATEL methodology. Application of the integrated DEMATEL is illustrated by adopting a case study of safety management in the high-tech industry. … (more)
- Is Part Of:
- Safety science. Volume 127(2020)
- Journal:
- Safety science
- Issue:
- Volume 127(2020)
- Issue Display:
- Volume 127, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 127
- Issue:
- 2020
- Issue Sort Value:
- 2020-0127-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-07
- Subjects:
- Group decision-making -- DEMATEL -- BWM -- Bayesian network -- Safety management system
Industrial accidents -- Periodicals
Accident Prevention -- Periodicals
Safety -- Periodicals
Travail -- Accidents -- Périodiques
363.11 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09257535 ↗
http://www.elsevier.com/journals ↗
http://www.journals.elsevier.com/safety-science/ ↗ - DOI:
- 10.1016/j.ssci.2020.104705 ↗
- Languages:
- English
- ISSNs:
- 0925-7535
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8069.124900
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 13442.xml