Exploring the Role of AI and IoT in Production Efficiency, Quality, and Sustainability in Manufacturing

Mustafa M. Mansour (Department of Mechanical Engineering, College of Engineering, University of Thi-Qar, Thi-Qar, 64001, Iraq)
Alaa M. Lafta (Department of Mechanical engineering, College of engineering, University of Thi-Qar, Thi-Qar, Iraq)
Azhar Mansoor Salman (Department of Electrical & Electronics, College of engineering, University of Thi-Qar, Thi-Qar, Iraq)
Haider Sami Salman (Department of Petroleum and Gas Engineering, College of Engineering, University of Thi-Qar, Thi-Qar, Iraq)

Vokasi UNESA Bulletin of Engineering, Technology and Applied Science
Vol. 2 No. 2 (2025)

This study explores the findings obtained through these research objectives, which will pave new agendas towards the medium-range economy renaissance, resilient digital ecosystems, and human-centered integrated intelligence. More in-depth exploration of the goal-specific research objectives awaits the research report. The main research gap and questions – and concomitant research approach, paradigm, and methodologies – framing the subsequent sections of the paper are substantiated by these objectives' delineation from the research questions. Practical implications and directions for prospective areas of techno-social innovation studies, building upon the findings, are outlined to conclude the paper. The aims, once accomplished, offer a symbiotic relationship with the research questions that catalyze interest in a domain that has hitherto been neglected mainly in Industry 4.0 literature. These aims become the guiding lights surmounting the destination of AIoT as a subversive innovation in developing and deploying discrete, reconfigurable, and near-continuous Industry 4.0 auxiliary open smart manufacturing.