Reliability Assessment of Flow Networks and Industrial Systems: Bridging Theory and Applications explores real-life flow networks and industrial systems, employing various methods, including both exact and approximation techniques, to assess the reliability of these systems. Through numerous examples, the book explains algorithms, ensuring readers gain a deep understanding of the discussed approaches. The complexity results for these algorithms are computed and compared with alternative methods. Furthermore, the book presents experimental results tied to specific methods, providing a comprehensive and practical understanding throughout. - Explores the modeling of diverse real-world systems through binary/multistate flow networks- Introduces the fundamentals of binary network reliability, providing a comprehensive understanding and exposure to various assessment methods- Delves into the intricacies of stochastic/multistate flow networks, emphasizing reliability concepts and offering familiarity with multiple assessment methods

Reliability Assessment of Flow Networks and Industrial Systems: Bridging Theory and Applications explores real-life flow networks and industrial systems, employing various methods, including both exact and approximation techniques, to assess the reliability of these systems. Through numerous examples, the book explains algorithms, ensuring readers gain a deep understanding of the discussed approaches. The complexity results for these algorithms are computed and compared with alternative methods. Furthermore, the book presents experimental results tied to specific methods, providing a comprehensive and practical understanding throughout. - Explores the modeling of diverse real-world systems through binary/multistate flow networks- Introduces the fundamentals of binary network reliability, providing a comprehensive understanding and exposure to various assessment methods- Delves into the intricacies of stochastic/multistate flow networks, emphasizing reliability concepts and offering familiarity with multiple assessment methods