Enrique Mauricio Barreno Avila You can use STPA (http://psas.scripts.mit.edu/home/get_file.php?name=STPA_handbook.pdf) Enrique Mauricio Barreno Avila to identify the Hazards, the risk assessment will have to be done using other techniques. It has benefits compared to the older BowTie Analysis Technique.
"New" isn't necessarily better. I'm not sure what you are really looking for, as the hazards are quite well known, as are mitigation measures. What is it that you think they are missing? MOST 'accidents' occur from individuals NOT using the information and knowledge that we already have.
A Partial Least Square Structural Equation Modeling (PLS SEM) is one of effective method to evaluate risk factors and find the relationship between cause and effect of risk factors. you can review this article to get more idea about it .
Article Assessment of the effect of external risk factors on the suc...
There are many risk assessment methods, let alone models and variations designed for specific purposes. Should the fuzzy theory fit what you are assessing? It depends on many factors. What sources of information do you have for the assessment, historical data, experts' assessments, or both? Which are your approach and philosophical standpoint? If you are about to begin with risk and risk assessment research, I recommend you first have a look at basic elements first, things like risk concept, risk perspective, uncertainty, ambiguity, and complexity. You cannot measure things that you cannot clearly define and understand. Once knowing those elements, you will have the tools in your hand to read further materials about assessment methods.
I hope my suggestions would help you. There is some useful dois:
10.1016/j.ejor.2015.12.023
10.1016/j.ress.2011.11.006
Article A quantitative risk analysis model with integrated deliberat...
Interesting and very practical issue! I think that the answer depends on your specific context. In other words, if you think that the uncertainty in the data, the causal formulation can be described and assessed using probabilistic methods, the Bayesian networks can be most useful. Use Winbugs for coding: there are many discussions on the net. If, however, you think that probabilistic methods do not fit your descriptions, then fuzzy methods and modeling using fuzzy controllers may give you plausible and defensible answers. So, if it is a matter of describing uncertainty (namely "risk') you can use probabilistic methods. A "hazard" is a state (such as climbing a ladder) and the risk expresses the probability (or other uncertainty) associated with a failure mode, such as the ladder slipping. The consequences can be grave, depending on who is at risk. In the alternative to stating risk as a probability, you might refer to Lofti Zadeh papers, some of which are non-mathematical, for using fuzzy sets. For instance, Klir has written several pieces dealing with fuzzy methods and he is very understandable. You might set up a toy case and use both alternative methods to see which is more appropriate to your issues. A toy example is a simple example that is consistent with the intuition that you have about a problem. Try for simplicity and ease of understanding, given the nature of your concerns. Bayesian networks and fuzzy methods are relatively easy to understand and explain.
Interesting question and very practical issue Enrique Mauricio Barreno Avila . Modern day researchers rely on the combination of methods. I also think that answers to this question could be many and all correct in their domains. It largely depends on specific context.
Number of methods are used to asses the risk factors such as: Quantitative risk assessment (QRA), Event-Tree Analysis (ETA), Risk matrix approach (RMA) and Indicator-based approach (IBA) and much more.
But as suggested by other expert, "Partial Least Square Structural Equation Modeling (PLS SEM) is one of effective method to evaluate risk factors.
There are many of latest techniques for risk assessment, but selecting the suitable techniques depend on the data availability for frequency and severity of Hazards and its nature of uncertainty for data for example a hazard has historical data and are randomness , the suitable tool is Monte Carlo simulation but when the data are difficult to collect, the experts' opinions are utilized in fuzzy methods for assessment Also you can use Bow tie analysis with these techniques as a helping tool to find the the values of root causes or factors for hazards.