Business Reliability Growth for Automotive Engineering, Volume 4

R-552

2/17/2026

Authors
Abstract
Content

In a world where every business process is under pressure to perform faster, safer, and more reliably, this book delivers a powerful roadmap for sustained operational excellence. Centered on the proven methodology of Design of Experiments (DOE), it shows how organizations can move beyond reactive problem-solving to systematic reliability growth. From well-defined standard operating practices to management-level decision-making, the book connects strategy, data, and execution to create repeatable, measurable results across the enterprise.

Readers are guided through practical, real-world applications of DOE, from selecting the right factors and levels to executing robust experiments, analyzing outcomes, validating solutions, and continuously monitoring performance. Each chapter translates complex statistical and engineering concepts into actionable business value, helping teams improve quality, reduce waste, and increase return on investment.

Key capabilities explored in this book include:

• Holistic reliability across design, manufacturing, supply chain, and marketing.

• Advanced experimental designs, including split-plot and fractional factorial methods.

• Fault tree analysis (FTA) and FMEA for failure prediction and prevention.

• Supply chain optimization through multivariate process control.

• Production and field reliability using design for testability and diagnostics.

• Electric vehicle system and battery reliability analysis.

• Marketing reliability driven by voice of customer and data-based value analysis.

This book is an essential resource for engineers, operations leaders, and technical managers who want to build resilient systems, unlock innovation, and achieve long-term competitive advantage through disciplined, data-driven reliability.

Meta TagsDetails
Pages
348
Citation
Chiang, Y.. "Business Reliability Growth for Automotive Engineering, Volume 4,".(Warrendale, PA: SAE International, 2026),.
Additional Details
Publisher
Published
Feb 17
Product Code
R-552
Content Type
Reference
Language
English