Quality Management in Engineering: Scientific Processes and Methods for the Automotive Industry, Second Edition, builds upon the first edition's strong foundation in quality management while addressing two critical industry advancements: supplier quality management and perceived quality frameworks. It offers a comprehensive exploration of methodologies designed to meet modern challenges, ensuring both functional excellence and aesthetic appeal in product development. Enhanced with automotive case studies featuring electric vehicle and autonomous driving technologies, this edition provides practical, science-based approaches for implementing robust quality systems throughout the product lifecycle.

This new edition includes expanded coverage of supplier quality management, reflecting the evolution of suppliers from parts producers to design, software, and assembly partners. Case studies involving EV battery manufacturers and autonomous driving technologies illustrate these advancements. Additionally, the book introduces a science-based Perceived Quality (PQ) framework, addressing customers' growing expectations for products that combine reliability, functionality, and aesthetic appeal. This framework includes methodologies for design analysis, prototype evaluation, and craftsmanship, supported by visual examples from global automotive models.

Written for engineering professionals, quality managers, and academics, the new edition is tailored to meet the needs of both Original Equipment Manufacturers (OEMs) and suppliers. Industry practitioners will benefit from practical tools such as Quality Function Deployment (QFD) and Fault Tree Analysis (FTA), while academics will find real-world applications of theoretical principles. Whether you're working in the automotive industry or studying its best practices, this edition provides invaluable insights into modern quality management.