Systematic Approach to Ergatic Systems Risk Management in Maritime Operations

Abstract

The article explores risk management in maritime energy systems, where technical, human, and organizational factors interplay. Its goal is to create a systematic risk assessment and management framework that includes analyzing degradation and stochastic failures through Markov processes. The approach formalizes ergatic systems as stochastic models with transition probabilities among states, allowing for reliability assessment and critical failure identification. The paper combines analytical methods and modeling to build transition matrices, identify key risk indicators, and analyze how external factors influence the model. The findings demonstrate that the proposed approach not only facilitates the identification of the most vulnerable components of the system but also provides a foundational basis for formulating practical recommendations aimed at optimizing maintenance and human factors management. The methodology presented herein can be applied to enhance maritime safety, raise standards for maritime operations, and inform risk management policies within the domain of maritime transportation.