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

Discrete stochastic models are used to understand, control, and optimize engineering systems and processes, with real-life examples and illustrations in reliability engineering and statistical quality control. This book covers definitions, concepts, and methods with a focus on their applications in these fields, including recent advances and connections between the theoretical framework and engineering applications.

Format: Hardback
Length: 170 pages
Publication date: 07 September 2022
Publisher: Taylor & Francis Ltd

Discrete stochastic models are invaluable tools for comprehending, regulating, and enhancing engineering systems and processes. This comprehensive book offers a wealth of real-life examples and illustrations, showcasing models in reliability engineering and statistical quality control. By establishing a strong connection between the theoretical framework and its practical applications, it facilitates a deeper understanding of these models.

The book delves into discrete stochastic models, encompassing both well-known and lesser-known variants. It provides clear definitions, concepts, and methodologies, enabling readers to effectively apply them in the fields of reliability engineering and statistical quality control. Additionally, the book explores recent advancements and establishes meaningful connections between the theoretical underpinnings of discrete stochastic models and their practical implementations in engineering.

This book serves as an essential reference for researchers and graduate students pursuing careers in operations research, reliability engineering, quality control, and probability and statistics. Its comprehensive coverage and insightful explanations make it a valuable resource for anyone seeking to advance their knowledge and expertise in these dynamic fields.

Dimension: 234 x 156 (mm)
ISBN-13: 9780367749835