Discrete Stochastic Models and Applications for Reliability Engineering and Statistical Quality Control 1st Edition

Discrete Stochastic Models and Applications for Reliability Engineering and Statistical Quality Control, 1st Edition by Serkan Eryilmaz is a concise, rigorously written guide that bridges theory and practice for engineers, statisticians, and quality professionals. Ideal for graduate students and practitioners, this book demystifies discrete stochastic methods and shows how they drive smarter decisions in reliability and quality control.

Inside, you’ll find clear explanations of discrete stochastic processes, Markov chains, renewal theory, and discrete-event models tailored to reliability engineering and statistical process control. Eryilmaz blends mathematical clarity with practical examples, demonstrating how to model system failures, predict component lifetimes, design maintenance strategies, and implement effective quality-control schemes across manufacturing and service industries.

Readers benefit from step-by-step derivations, illustrative problems, and applied case studies that emphasize actionable results. Whether you’re optimizing preventive maintenance schedules, improving uptime, or building robust SPC procedures, the techniques in this book are designed to deliver measurable improvements. Its accessible presentation makes complex concepts usable for both classroom learning and on-the-job problem solving.

Global in scope and relevance, this volume serves professionals across North America, Europe, Asia, and beyond who need reliable stochastic tools for modern engineering and quality challenges. Add this authoritative first edition by Serkan Eryilmaz to your professional library to enhance predictive capabilities, reduce downtime, and elevate process quality. Order now to equip your team or coursework with a practical, theoretically sound resource for real-world reliability and statistical quality control.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.