Keywords
Quality 5.0, Human-AI Collaboration, Adaptive Quality Management, IoT & Cloud Integration, Ethical AI Governance and Modular System Architecture
Abstract
This dissertation presents the Integrated Human-Techno Quality 5.0 System Management Framework (IHT-Q5.0MSF) as a solution to the fragmented and inflexible structures of Quality 4.0. The framework fosters synergy between human insight and technologies such as AI, IoT, and cloud-native systems, addressing adaptability, ethical governance, and sustainability within Industry 5.0. Using a mixed-methods approach, including the Delphi Method, system modeling, and empirical validation, the study identifies enablers, barriers, and strategic priorities for implementation. The results highlight the effectiveness of modular design, human-AI collaboration, and transparent deployment. IHT-Q5.0MSF offers a validated, scalable, and ethically guided system poised to advance quality management in digitalized, human-centered industrial contexts.
Completion Date
2025
Semester
Spring
Committee Chair
Elshennawy, Ahmad
Degree
Doctor of Philosophy (Ph.D.)
College
College of Engineering and Computer Science
Department
Industrial Engineering and Management Systems
Identifier
DP0029362
Document Type
Dissertation/Thesis
Campus Location
Orlando (Main) Campus
STARS Citation
Olaitan, Johnson O. Sr., "Quality 5.0 Management System Design: A Human-Centric and System of Systems Approach" (2025). Graduate Thesis and Dissertation post-2024. 193.
https://stars.library.ucf.edu/etd2024/193