Exploring the Impact of AI and IoT on Production Efficiency, Quality Precision, and Environmental Sustainability in Manufacturing

Authors

  • mustafa M.Mansour Department of Mechanical engineering, College of engineering, University of Thi-Qar, Thi-Qar, 64001, Iraq https://orcid.org/0009-0006-1254-2335
  • Alaa M. lafta Department of Mechanical engineering, College of engineering, University of Thi-Qar, Thi-Qar, Iraq https://orcid.org/0000-0002-6666-5668
  • Azhar Mansoor Salman Department of Electrical & Electronics, College of engineering, University of Thi-Qar, Thi-Qar, Iraq
  • Haider Sami Salman 4Department of Petroleum and Gas Engineering, College of Engineering, University of Thi-Qar, Thi-Qar, Iraq

DOI:

https://doi.org/10.26740/vubeta.v2i2.38200

Keywords:

Artificial Intelligence, IoT, Quality, Environmental Sustainability, Production Efficiency

Abstract

The findings obtained through these research objectives 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 largely neglected in Industry 4.0 literature. These aims become the guiding lights surmounting the destination of AIoT in being a subversive innovation in developing and deploying discrete, reconfigurable, and near-continuous Industry 4.0 auxiliary open smart manufacturing.

Author Biographies

mustafa M.Mansour, Department of Mechanical engineering, College of engineering, University of Thi-Qar, Thi-Qar, 64001, Iraq

Assist .prof. Dr. Mustafa M. Mansour, Lecturer, Teaching at the College of Engineering, Thi Qar University, head of  Department of Mechanical Engineering. Was born on November 1988 in Iraq. He received his engineer degree in Industrial Engineering from the technology University of Engineering (Baghdad) in 2010. Then, he received his M.Sc. and PhD degrees in Industrial Engineering from the Baghdad University in 2014 and 2018, respectively. https://orcid.org/0009-0006-1254-2335 

Alaa M. lafta, Department of Mechanical engineering, College of engineering, University of Thi-Qar, Thi-Qar, Iraq

Dr. Alaa M. Lafta ,Teaching at the College of Engineering, thi  Qar University, in the Department of Mechanical Engineering

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Published

2025-06-19

How to Cite

[1]
mustafa M.Mansour, A. M. lafta, A. M. Salman, and H. S. Salman, “Exploring the Impact of AI and IoT on Production Efficiency, Quality Precision, and Environmental Sustainability in Manufacturing”, Vokasi Unesa Bull. Eng. Technol. Appl. Sci., vol. 2, no. 2, pp. 342–355, Jun. 2025.

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Vol. 2 No. 2 (2025)

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Copyright (c) 2025 mustafa M.Mansour, Alaa M. lafta, Azhar Mansoor Salman, Haider Sami Salman

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