Semi-Markov Processes: Applications in System Reliability and Maintenance is a modern view of discrete state space and continuous time semi-Markov processes and their applications in reliability and maintenance. The book explains how to construct semi-Markov models and discusses the different reliability parameters and characteristics that can be obtained from those models.

The book is a useful resource for mathematicians, engineering practitioners, and PhD and MSc students who want to understand the basic concepts and results of semi-Markov process theory.

• Clearly defines the properties and theorems from discrete state Semi-Markov Process (SMP) theory
• Describes the method behind constructing Semi-Markov (SM) models and SM decision models in the field of reliability and maintenance
• Provides numerous individual versions of SM models, including the most recent and their impact on system reliability and maintenance