Discrete Stochastic Models and Applications for Reliability Engineering and Statistical Quality Control

Discrete  stochastic models are tools that allow us to understand, control, and  optimize engineering systems and processes. This book provides real-life  examples and illustrations of models in reliability engineering and  statistical quality control and establishes a connection between the  theoretical framework and their engineering applications.

The  book describes discrete stochastic models along with real-life examples  and explores not only well-known models, but also comparatively lesser  known ones. It includes definitions, concepts, and methods with a clear  understanding of their use in reliability engineering and statistical  quality control fields. Also covered are the recent advances and  established connections between the theoretical framework of discrete  stochastic models and their engineering applications. 

An  ideal reference for researchers in academia and graduate students  working in the fields of operations research, reliability engineering,  quality control, and probability and statistics.