The article discusses how semi-Markov processes are more flexible than traditional Markov processes for modeling real-world systems. The researchers explore how these processes can be used to analyze survival and reliability in complex systems. By using semi-Markov chains, they were able to calculate important indicators like survival functions and mean hitting times. This approach provides a more accurate representation of how systems behave over time, making it valuable for practical applications.