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https://publikationen.bibliothek.kit.edu/1000007378
In order to handle potential risks to and emanating from industry and their respective impact on mankind as well as the environment, an integrated approach to industrial risk management is needed, since complex decision situations need to be resolved requiring input from diverse scientific disciplines and the consideration of various often conflicting criteria.Cited by: 18
https://www.ksp.kit.edu/9783866442078
In order to address the various types of uncertainty, which may arise in a decision making process in industrial risk management, a framework for uncertainty handling is proposed. On the basis of a structured uncertainty classification, methods based on Monte Carlo simulation can be used for a consistent modelling, propagation and visualisation of the different types of uncertainty.
https://www.researchgate.net/publication/221563516_Multi-Criteria_Decision_Support_and_Uncertainty_Handling_Propagation_and_Visualisation_for_Emergency_and_Remediation_Management
Uncertainty handling was from the beginning an integral part of the decision support system RODOS for the off-site emergency management following nuclear or radiological emergencies.
https://www.researchgate.net/profile/Valentin_Bertsch/publication/36452793_Uncertainty_Handling_in_Multi-Attribute_Decision_Support_for_Industrial_Risk_Management/links/00463527cc407a65fb000000/Uncertainty-Handling-in-Multi-Attribute-Decision-Support-for-Industrial-Risk-Management.pdf
Uncertainty Handling in Multi-Attribute Decision Support for Industrial Risk Management D I S S E R T A T I O N zur Erlangung des akademischen Grades eines
https://www.ncbi.nlm.nih.gov/books/NBK217564/
Risk Versus Uncertainty. Risk, as it is generally understood by health and safety risk analysts, measures the probability and severity of loss or injury. Uncertainty , on the other hand, refers to a lack of definite knowledge, a lack of sureness; doubt is its closest synonym. At times, these terms are confused.
https://link.springer.com/content/pdf/10.1007%2Fs13595-011-0153-4.pdf
forest management and decision support tools needed to cope with climate change. Keywords Adaptive forest management.Climate change. Operations research.Market uncertainty.Abiotic and biotic risk 1 Introduction Risk and uncertainty is, today, widely included in forest modelling. Recent reviews focus on the modelling ofCited by: 129
https://risk-engineering.org/risk-management/
Communication and consultation to ensure that early warnings of emerging risks are detected, that stakeholders’ perceptions of the decision impacts are known to decision-makers, and that decisions made are understood. To be effective, risk management must be tightly linked to the overall management of a system.
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0189835
Management risk refers to the risk of food safety, which is caused by the food supplier in the process of food production and circulation, due to management factors[26–27]. This involves production qualification, food quality assurance system, food detection and test ability, education and training system of food safety, and the implementation of a food safety system, which can guarantee food safety.Cited by: 1
https://www.twi-global.com/technical-knowledge/published-papers/a-framework-for-multi-criteria-decision-analysis-mcda-applied-to-conceptual-stage-of-ship-design
This research proposes a Multi-criteria Decision Analysis (MCDA) framework to evaluate different decision criteria, which integrates the evaluation of life-cycle cost analysis, environmental impact and risk assessment. The MCDA framework will support decision making from a …
https://www.sciencedirect.com/science/article/pii/S1364815214002813
There is an increasing need for environmental management advice that is wide-scoped, covering various interlinked policies, and realistic about the uncertainties related to the possible management actions. To achieve this, efficient decision support integrates the results of pre-existing models.Cited by: 302
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