1.

Record Nr.

UNINA9911070617903321

Autore

Chiang Young J.

Titolo

Business reliability growth for automotive engineering . Volume IV / / Young J. Chiang

Pubbl/distr/stampa

Warrendale, Pennsylvania : , : SAE International, , [2025]

©2025

ISBN

1-4686-0771-5

1-4686-0768-5

9781468607680

Edizione

[1st ed.]

Descrizione fisica

1 online resource (1 PDF (xxxiii, 311 pages)) : illustrations (chiefly color), charts

Collana

Design of Experiments for Product Reliability Growth ; ; Volume IV

Disciplina

629.2

Soggetti

Automobiles - Reliability

Automobile industry and trade - Quality control

Manufacturing processes - Reliability

TECHNOLOGY & ENGINEERING / Automotive

TRANSPORTATION / Automotive / General

DESIGN / Industrial

Automotive technology and trades

Road and motor vehicles: general interest

Product design

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Preface -- Acronyms -- Nomenclature -- Chapter 16 : Holistic reliability -- Chapter 17 : Supply chain reliability -- Chapter 18 : Operational reliability in production engineering -- Chapter 19 : Operational reliability of EVs -- Chapter 20 : Marketing reliability -- Bibliography : books -- Index -- About the authors.

Sommario/riassunto

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.