Purpose This study introduces advancing knowledge in the field of quality management, positioning it as an evolution of traditional quality management practices that is specifically tailored to meet the demands of today's smart systems and the ongoing digital transformation. To further contextualize Quality 6.0 (Q6.0), the study explores its integration within the broader framework of Industry 6.0 (I6.0), an emerging paradigm that transcends the automation and digitalization focus of its predecessors, Industry 4.0 (I4.0) and Industry 5.0 (I5.0). Design/methodology/approach The study applies the Q6.0 framework to the selection of Intelligent Traffic Management Systems (ITMS), a critical component of smart city initiatives aimed at optimizing traffic flow, reducing congestion and enhancing overall urban mobility. Five ITMS alternatives are evaluated and ranked using a Multi-Criteria Decision-Making (MCDM) approach. Specifically, the Intuitionistic Fuzzy Step-wise Weight Assessment Ratio Analysis (IF-SWARA) method is employed for criteria weight determination, and the Intuitionistic Fuzzy COmbinative Distance-based ASsessment (IF-CODAS) method is used for ranking the alternatives. Findings The findings highlight the importance of integrating advanced quality management practices into the development and deployment of intelligent systems, particularly in urban infrastructure. Practical implications I6.0 emphasizes human-centered, sustainable and resilient systems that leverage advanced technologies such as artificial intelligence, robotics and the Internet of Things (IoT) to create smart, autonomous and adaptive ecosystems. Q6.0 aligns with this vision by incorporating multiple key criteria that reflect the evolving demands of modern quality management. Originality/value By introducing Q6.0 to the academic literature, this study provides a robust framework for future research and practical applications in the era of I4.0 and beyond.
Aydın et al. (Fri,) studied this question.