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

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