Development of An Algorithmic Model And Methods For Managing Production Systems Based On Algebra Over Functioning Tables

Determination of the hazard index in ensuring the safety of personnel in underground mines requires a comprehensive approach. Different methods can be applied depending on the specifics and conditions of work. This article discusses event tree and Bayesian network methods as tools for systematic analysis and assessment of personnel safety risks. The event tree method allows the sequence of events that lead to certain outcomes to be ordered and visualised. Analysing this event tree can help identify critical points and determine likely ways to prevent accidents. The Bayesian grid method is a graphical model of the probabilistic relationships between different variables. When analysing personnel safety, the Bayesian grid method can take into account the probability of events, the factors affecting safety and their interrelationships.

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Development of An Algorithmic Model And Methods For Managing Production Systems Based On Algebra Over Functioning Tables

Cited by 19 publications

References 6 publications

Control System and Algorithm for Construction of Optimal Technological Routes for Machining Parts in the Machining Shop

Control System and Algorithm for Construction of Optimal Technological Routes for Machining Parts in the Machining Shop

Development of models and algorithms for transport and group equipment tasks

Analyses and algorithms of personnel safety in mines using event tree and Bayesian network method

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