This book explores the new paradigm of quality management in the digital age. Joanna Rosak-Szyrocka and Radosaw Wolniak trace the development of this concept in Quality 4.0, illuminating the crucial role quality plays in cutting-edge technology in innovation-driven organizations. Adopting an interdisciplinary perspective, they outline the foundations and concepts of Quality 4.0, assess its human-centered, ethical and strategic dimensions and examine the technologies enabling smart quality.
Chapters demonstrate how companies apply the principles of Quality 4.0 by merging technological advances and quality management with social responsibility and sustainable agendas. Drawing on a rich array of case studies, the authors illustrate that quality not only functions as a basis for competitive advancement but facilitates trust, transparency and inclusion between people and technology. Ultimately, the authors introduce their own model, Quality 4.0: A Modern Approach, incorporating technological, organizational and human aspects to design quality systems that embody efficiency, morality, sustainability and social inclusiveness.
Quality 4.0 and Artificial Intelligence is a crucial resource for students and scholars of business and management and industrial engineering. It is also an invigorating read for academics across the social sciences, particularly in economics and finance, and innovation and technology studies.
Arvustused
A rigorous and forward-looking synthesis of Quality 4.0, this book shows how data intelligence, AI and human-centered design can build resilient, inclusive and ethically grounded smart factories for the future. -- Andrzej Pacana, Rzeszów University of Technology, Poland
Contents
Preface
Introduction to Quality 4.0 and artificial intelligence
PART I Foundations and core concepts of Quality 4.0
1 The 11 pillars of Quality 4.0: a new architecture for quality management
2 Autonomous factories: beyond human supervision
3 Quality assurance with AI and machine learning
PART II Technologies enabling smart quality
4 IoT and quality data at work in real time
5 Wearable technology and worker-integrated quality systems
6 Digital twins and predictive quality
7 Visual quality inspection using computer vision and deep learning
PART III Human-centred, ethical and strategic dimensions of Quality 4.0
8 KPIs in Quality 4.0: the key to measuring the impact of digitisation
9 Human-centred quality: competence, ergonomics, collaboration
10 Compliance, auditability and the future of autonomous quality
References
Joanna Rosak-Szyrocka, Faculty of Management, Department of Production Engineering and Safety, Czestochowa University of Technology and Radosaw Wolniak, Department of Economics and Informatics, Silesian University of Technology, Poland
