Research Article
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Year 2025, Volume: 6 Issue: 1, 45 - 55, 30.06.2025
https://doi.org/10.14744/ytu.jame.2025.00006

Abstract

References

  • REFERENCES
  • [1] Chaker, B., & Damak, C. (2024). Integrating smart manufacturing and Industry 4.0: Technologies for production management optimization in supply chains. In Revolutionizing Supply Chains Through Digital Transformation (pp. 185–212). IGI Global. [CrossRef]
  • [2] Mosleuzzaman, M., Arif, I., & Siddiki, A. (2024). Design and development of a smart factory using Industry 4.0 technologies. Asian Journal of Business and Information Systems, 4(4), 89–108. [CrossRef]
  • [3] Loso, J., Agus, Y., & Weda, F. (2024). Bibliometric analysis on the application of Internet of Things in smart manufacturing system in Industry 4.0. West Science Interdisciplinary Studies, 2(8), 1–14. [CrossRef]
  • [4] Abikoye, O. C., Bajeh, A. O., Awotunde, J. B., Ameen, A. O., Mojeed, H. A., Abdulraheem, M., Oladipo, I. D., & Salihu, S. A. (2021). Application of Internet of Things and cyber physical systems in Industry 4.0 smart manufacturing. In Proceedings of the International Conference on Intelligent Systems and Applications (pp. 203–217). Springer, Cham. [CrossRef]
  • [5] Solanki, S. M. (2023). Industry 4.0 and smart manufacturing: Exploring the integration of advanced technologies in manufacturing. Review Index Journal of Multidisciplinary, 3(2), 45–58. [CrossRef]
  • [6] Singh, S., Mahanty, B., Tiwari, M. K., & Tiwari, M. K. (2021). IoT and semantic-based manufacturing system in the era of Industry 4.0. In Internet of Things and Connected Technologies (pp. 35–45). Springer, Singapore. [CrossRef]
  • [7] Nuruzzaman, A. Z. M. A. (2024). Industry 4.0 technologies for a data-driven, secure, green and circular manufacturing economy (pp. 26–31). [CrossRef]
  • [8] Patel, D., & Muthuswamy, S. (2022). Design and development of an IoT-enabled and robot-integrated smart manufacturing work cell. In Proceedings of the 2022 IEEE 6th Conference on Information and Communication Technology (CICT) (pp. 1–5). IEEE. [CrossRef]
  • [9] Ali, H., & Anjum, A. (2025). A comprehensive review regarding Industry 4.0, IoNT, and IoT for smart manufacturing betterment. Kashf Journal of Multidisciplinary Research, 2(1), 46–56. [CrossRef]
  • [10] Rathore, B. (2023). Next-generation intelligent IoT use case in smart manufacturing. In Smart Manufacturing: Concepts and Applications (pp. 265–277). Springer International Publishing. [CrossRef]
  • [11] Mahor, V., Bijrothiya, S., Singh, A., Ingle, M., & Joshi, D. (2023). Intelligence system and Internet of Things (IoT) based smart manufacturing industries. In Robotic Process Automation and Cognitive Automation: The Next Phase (pp. 339–354). Wiley. [CrossRef]
  • [12] Singh, A., Madaan, G., Hr, S., & Kumar, A. (2022). Smart manufacturing systems: A futuristic roadmap towards application of Industry 4.0 technologies. International Journal of Computer Integrated Manufacturing, 36(3), 411–428. [CrossRef]
  • [13] Bouguern, S. (2024). Designing the future: Exploring the smart manufacturing ecosystem and future landscape. Journal of Novel Engineering Science and Technology, 3(3), 99–106. [CrossRef]
  • [14] Diao, Z., & Sun, F. (2022). Application of Internet of Things in smart factories under the background of Industry 4.0 and 5G communication technology. Mathematical Problems in Engineering, Article 4417620. [CrossRef]
  • [15] Hasan, S., Pattnayak, J., & Thilagham, R. N. K. (2024). IoT and Industry 4.0: Revolutionizing manufacturing processes and supply chains. Journal of Informatics Education and Research, 4(3), 45–60. [CrossRef]
  • [16] Ryalat, M., ElMoaqet, H., & Alfaouri, M. (2023). Design of a smart factory based on cyber-physical systems and Internet of Things towards Industry 4.0. Applied Sciences, 13(4), 2156. [CrossRef]
  • [17] Ryalat, M., Franco, E., ElMoaqet, H., Almtireen, N., & Al-refai, G. (2024). The integration of advanced mechatronic systems into Industry 4.0 for smart manufacturing. Sustainability, 16(19), 8504. [CrossRef]
  • [18] Abdallah, S., Boucetta, R., Laabidi, W., & Zdiri, M. A. (2024). Enhancing industrial production efficiency: A comprehensive IoT-based supervision and control system. In Proceedings of the 2024 International Conference on Advanced Systems and Emergent Technologies (IC_ASET) (pp. 1–6). IEEE. [CrossRef]
  • [19] Graf, D. (2022). Smart manufacturing systems: A futuristic roadmap towards application of Industry 4.0 technologies. International Journal of Computer Integrated Manufacturing, 36(3), 411–428. [CrossRef]
  • [20] Alarcón Valero, F., Cubero, D., Mateo-Casalí, M. Á., & Fraile Gil, F. (2024). An interoperable IoT-based application to on-line reconfiguration manufacturing systems: Deployment in a real pilot. In Advances in Manufacturing Technology XXXIV (pp. 229–239). Springer International Publishing. [CrossRef]
  • [21] Chaudhary, A., Sharma, V., & Alkhayyat, A. (2023). Enabling the future of manufacturing: Integration of robotics and IoT to smart factory infrastructure in Industry 4.0. In Advances in Computational Intelligence and Robotics (pp. 25–50). IGI Global. [CrossRef]
  • [22] Bartoň, M., Budjac, R., Tanuška, P., Sládek, I., & Németh, M. (2024). Advancing small and medium-sized enterprise manufacturing: Framework for IoT-based data collection in Industry 4.0 concept. Electronics, 13(13), 2485. [CrossRef]
  • [23] Kaur, N. (2025). Intelligent manufacturing in Industry 4.0. In A. Chaudhary, V. Sharma, & A. Alkhayyat (Eds.), Intelligent Manufacturing and Industry 4.0: Impact, Trends, and Opportunities (pp. 5–25). CRC Press.
  • [24] Pasupuleti, M. K. (2024). Smart Industry 4.0: Transformative innovations and advanced technologies. In Smart Industry 4.0: Transformative Innovations and Advanced Technologies (pp. 119–133). Springer. [CrossRef]
  • [25] Waghanna, P., Reddy, A., Deshpande, S., Chavan, S., Jaiswal, V. R., & Naranje, V. (2024). Effects of adopting Industry 4.0 on a manufacturing plant. In Proceedings of the 2024 International Conference on Recent Trends in Information Technology and Optimization (ICRITO) (pp. 1–6). IEEE. [CrossRef]
  • [26] Aggarwal, A. (2024). Manufacturing 4.0: Revolutionizing production with IoT and edge intelligence. In Manufacturing 4.0: Revolutionizing Production with IoT and Edge Intelligence (pp. 175–190). ResearchGate.
  • [CrossRef] [27] Rath, K. C., Khang, A., Satapathy, S. K., Kumar, A., Das, S. R., & Panda, M. R. (2024). Enabling the future of manufacturing. In Enabling the Future of Manufacturing (pp. 101–128). Informa. [CrossRef]
  • [28] Abhishek, Kumar, V., & Bhalla, D. K. (2024). Integrating IoT and analytics in Industry 4.0: Towards a data- driven manufacturing landscape. 11th International Conference on Cutting-Edge Developments in Engineering Technology and Science, 1(1), 101–110.
  • [29] Fayed, A. M. (2022). A new era for smart manufacturing solutions with emerging technologies apps. In Proceedings of the Novel Intelligent and Leading Emerging Sciences Conference (NILES) (pp. 67–70). IEEE. [CrossRef]
  • [30] Saleem, M., Askar, S., Ibrahim, M. A., Othman, M., & Abdullah, N. (2024). The Industrial Internet of Things (IIoT) and its roles in the Fourth Industrial Revolution: A review. Indonesian Journal of Computer Science, 13(2), 45–60. [CrossRef]
  • [31] Ryalat, M., Almtireen, N., ElMoaqet, H., & Almohammedi, M. (2024). The integration of two smarts in the era of Industry 4.0: Smart factory and smart city. In Proceedings of the 2024 Smart Cities and Future Computing Conference (SCFC) (pp. 9–12). IEEE. [CrossRef]
  • [32] Lind, R. A. (2023). Smart factory in the context of digital transformation. In Smart Factory in the Context of Digital Transformation (pp. 129–140). Emerald Publishing Limited. [CrossRef]

Development of a smart manufacturing system using IoT and industry 4.0 principles

Year 2025, Volume: 6 Issue: 1, 45 - 55, 30.06.2025
https://doi.org/10.14744/ytu.jame.2025.00006

Abstract

The convergence of the Internet of Things (IoT) and Industry 4.0 principles is transforming traditional manufacturing into intelligent, responsive, and highly automated smart manufacturing systems. This study presents the development and evaluation of a smart manufacturing system integrating core Industry 4.0 technologies, including IoT, Artificial Intelligence (AI), robotics, digital twins, blockchain, and cloud computing. The research evaluates their functions, integration levels, and real-time capabilities, identifying IoT, robotics, and cloud computing as the most mature technologies (Integration Level 5, Real-time Capability 3). IoT integration demonstrated substantial operational benefits such as predictive maintenance, real-time monitoring, and process optimization, delivering ROI improvements of up to 40%. A detailed cost comparison revealed up to 58.3% cost savings in areas like downtime loss and maintenance, alongside improved annual ROI. Regional analysis highlighted Asia-Pacific as the leader in Industry 4.0 adoption (76.4%), followed by North America (72%) and Europe (67%). Furthermore, KPI improvements included a 30.8% increase in efficiency, 62.5% reduction in defect rate, and 46.7% rise in on-time delivery. Despite these advancements, the study identifies key challenges, such as high initial costs, data security risks, and workforce skill gaps. Strategies such as phased rollouts, encryption, and upskilling programs are recommended to mitigate these challenges. The proposed system underscores the transformative potential of smart manufacturing and provides a scalable framework for industries aiming to transition towards intelligent, data-driven production environments.

References

  • REFERENCES
  • [1] Chaker, B., & Damak, C. (2024). Integrating smart manufacturing and Industry 4.0: Technologies for production management optimization in supply chains. In Revolutionizing Supply Chains Through Digital Transformation (pp. 185–212). IGI Global. [CrossRef]
  • [2] Mosleuzzaman, M., Arif, I., & Siddiki, A. (2024). Design and development of a smart factory using Industry 4.0 technologies. Asian Journal of Business and Information Systems, 4(4), 89–108. [CrossRef]
  • [3] Loso, J., Agus, Y., & Weda, F. (2024). Bibliometric analysis on the application of Internet of Things in smart manufacturing system in Industry 4.0. West Science Interdisciplinary Studies, 2(8), 1–14. [CrossRef]
  • [4] Abikoye, O. C., Bajeh, A. O., Awotunde, J. B., Ameen, A. O., Mojeed, H. A., Abdulraheem, M., Oladipo, I. D., & Salihu, S. A. (2021). Application of Internet of Things and cyber physical systems in Industry 4.0 smart manufacturing. In Proceedings of the International Conference on Intelligent Systems and Applications (pp. 203–217). Springer, Cham. [CrossRef]
  • [5] Solanki, S. M. (2023). Industry 4.0 and smart manufacturing: Exploring the integration of advanced technologies in manufacturing. Review Index Journal of Multidisciplinary, 3(2), 45–58. [CrossRef]
  • [6] Singh, S., Mahanty, B., Tiwari, M. K., & Tiwari, M. K. (2021). IoT and semantic-based manufacturing system in the era of Industry 4.0. In Internet of Things and Connected Technologies (pp. 35–45). Springer, Singapore. [CrossRef]
  • [7] Nuruzzaman, A. Z. M. A. (2024). Industry 4.0 technologies for a data-driven, secure, green and circular manufacturing economy (pp. 26–31). [CrossRef]
  • [8] Patel, D., & Muthuswamy, S. (2022). Design and development of an IoT-enabled and robot-integrated smart manufacturing work cell. In Proceedings of the 2022 IEEE 6th Conference on Information and Communication Technology (CICT) (pp. 1–5). IEEE. [CrossRef]
  • [9] Ali, H., & Anjum, A. (2025). A comprehensive review regarding Industry 4.0, IoNT, and IoT for smart manufacturing betterment. Kashf Journal of Multidisciplinary Research, 2(1), 46–56. [CrossRef]
  • [10] Rathore, B. (2023). Next-generation intelligent IoT use case in smart manufacturing. In Smart Manufacturing: Concepts and Applications (pp. 265–277). Springer International Publishing. [CrossRef]
  • [11] Mahor, V., Bijrothiya, S., Singh, A., Ingle, M., & Joshi, D. (2023). Intelligence system and Internet of Things (IoT) based smart manufacturing industries. In Robotic Process Automation and Cognitive Automation: The Next Phase (pp. 339–354). Wiley. [CrossRef]
  • [12] Singh, A., Madaan, G., Hr, S., & Kumar, A. (2022). Smart manufacturing systems: A futuristic roadmap towards application of Industry 4.0 technologies. International Journal of Computer Integrated Manufacturing, 36(3), 411–428. [CrossRef]
  • [13] Bouguern, S. (2024). Designing the future: Exploring the smart manufacturing ecosystem and future landscape. Journal of Novel Engineering Science and Technology, 3(3), 99–106. [CrossRef]
  • [14] Diao, Z., & Sun, F. (2022). Application of Internet of Things in smart factories under the background of Industry 4.0 and 5G communication technology. Mathematical Problems in Engineering, Article 4417620. [CrossRef]
  • [15] Hasan, S., Pattnayak, J., & Thilagham, R. N. K. (2024). IoT and Industry 4.0: Revolutionizing manufacturing processes and supply chains. Journal of Informatics Education and Research, 4(3), 45–60. [CrossRef]
  • [16] Ryalat, M., ElMoaqet, H., & Alfaouri, M. (2023). Design of a smart factory based on cyber-physical systems and Internet of Things towards Industry 4.0. Applied Sciences, 13(4), 2156. [CrossRef]
  • [17] Ryalat, M., Franco, E., ElMoaqet, H., Almtireen, N., & Al-refai, G. (2024). The integration of advanced mechatronic systems into Industry 4.0 for smart manufacturing. Sustainability, 16(19), 8504. [CrossRef]
  • [18] Abdallah, S., Boucetta, R., Laabidi, W., & Zdiri, M. A. (2024). Enhancing industrial production efficiency: A comprehensive IoT-based supervision and control system. In Proceedings of the 2024 International Conference on Advanced Systems and Emergent Technologies (IC_ASET) (pp. 1–6). IEEE. [CrossRef]
  • [19] Graf, D. (2022). Smart manufacturing systems: A futuristic roadmap towards application of Industry 4.0 technologies. International Journal of Computer Integrated Manufacturing, 36(3), 411–428. [CrossRef]
  • [20] Alarcón Valero, F., Cubero, D., Mateo-Casalí, M. Á., & Fraile Gil, F. (2024). An interoperable IoT-based application to on-line reconfiguration manufacturing systems: Deployment in a real pilot. In Advances in Manufacturing Technology XXXIV (pp. 229–239). Springer International Publishing. [CrossRef]
  • [21] Chaudhary, A., Sharma, V., & Alkhayyat, A. (2023). Enabling the future of manufacturing: Integration of robotics and IoT to smart factory infrastructure in Industry 4.0. In Advances in Computational Intelligence and Robotics (pp. 25–50). IGI Global. [CrossRef]
  • [22] Bartoň, M., Budjac, R., Tanuška, P., Sládek, I., & Németh, M. (2024). Advancing small and medium-sized enterprise manufacturing: Framework for IoT-based data collection in Industry 4.0 concept. Electronics, 13(13), 2485. [CrossRef]
  • [23] Kaur, N. (2025). Intelligent manufacturing in Industry 4.0. In A. Chaudhary, V. Sharma, & A. Alkhayyat (Eds.), Intelligent Manufacturing and Industry 4.0: Impact, Trends, and Opportunities (pp. 5–25). CRC Press.
  • [24] Pasupuleti, M. K. (2024). Smart Industry 4.0: Transformative innovations and advanced technologies. In Smart Industry 4.0: Transformative Innovations and Advanced Technologies (pp. 119–133). Springer. [CrossRef]
  • [25] Waghanna, P., Reddy, A., Deshpande, S., Chavan, S., Jaiswal, V. R., & Naranje, V. (2024). Effects of adopting Industry 4.0 on a manufacturing plant. In Proceedings of the 2024 International Conference on Recent Trends in Information Technology and Optimization (ICRITO) (pp. 1–6). IEEE. [CrossRef]
  • [26] Aggarwal, A. (2024). Manufacturing 4.0: Revolutionizing production with IoT and edge intelligence. In Manufacturing 4.0: Revolutionizing Production with IoT and Edge Intelligence (pp. 175–190). ResearchGate.
  • [CrossRef] [27] Rath, K. C., Khang, A., Satapathy, S. K., Kumar, A., Das, S. R., & Panda, M. R. (2024). Enabling the future of manufacturing. In Enabling the Future of Manufacturing (pp. 101–128). Informa. [CrossRef]
  • [28] Abhishek, Kumar, V., & Bhalla, D. K. (2024). Integrating IoT and analytics in Industry 4.0: Towards a data- driven manufacturing landscape. 11th International Conference on Cutting-Edge Developments in Engineering Technology and Science, 1(1), 101–110.
  • [29] Fayed, A. M. (2022). A new era for smart manufacturing solutions with emerging technologies apps. In Proceedings of the Novel Intelligent and Leading Emerging Sciences Conference (NILES) (pp. 67–70). IEEE. [CrossRef]
  • [30] Saleem, M., Askar, S., Ibrahim, M. A., Othman, M., & Abdullah, N. (2024). The Industrial Internet of Things (IIoT) and its roles in the Fourth Industrial Revolution: A review. Indonesian Journal of Computer Science, 13(2), 45–60. [CrossRef]
  • [31] Ryalat, M., Almtireen, N., ElMoaqet, H., & Almohammedi, M. (2024). The integration of two smarts in the era of Industry 4.0: Smart factory and smart city. In Proceedings of the 2024 Smart Cities and Future Computing Conference (SCFC) (pp. 9–12). IEEE. [CrossRef]
  • [32] Lind, R. A. (2023). Smart factory in the context of digital transformation. In Smart Factory in the Context of Digital Transformation (pp. 129–140). Emerald Publishing Limited. [CrossRef]
There are 33 citations in total.

Details

Primary Language English
Subjects Flexible Manufacturing Systems, Manufacturing Safety and Quality
Journal Section Research Article
Authors

Dickson David Olodu 0000-0003-3383-2543

Francis Inegbedion 0000-0002-2142-8079

Joy Nneka Ayidu 0000-0001-9705-2787

Submission Date May 12, 2025
Acceptance Date June 28, 2025
Publication Date June 30, 2025
Published in Issue Year 2025 Volume: 6 Issue: 1

Cite

APA Olodu, D. D., Inegbedion, F., & Ayidu, J. N. (2025). Development of a smart manufacturing system using IoT and industry 4.0 principles. Journal of Advances in Manufacturing Engineering, 6(1), 45-55. https://doi.org/10.14744/ytu.jame.2025.00006
AMA Olodu DD, Inegbedion F, Ayidu JN. Development of a smart manufacturing system using IoT and industry 4.0 principles. J Adv Manuf Eng. June 2025;6(1):45-55. doi:10.14744/ytu.jame.2025.00006
Chicago Olodu, Dickson David, Francis Inegbedion, and Joy Nneka Ayidu. “Development of a Smart Manufacturing System Using IoT and Industry 4.0 Principles”. Journal of Advances in Manufacturing Engineering 6, no. 1 (June 2025): 45-55. https://doi.org/10.14744/ytu.jame.2025.00006.
EndNote Olodu DD, Inegbedion F, Ayidu JN (June 1, 2025) Development of a smart manufacturing system using IoT and industry 4.0 principles. Journal of Advances in Manufacturing Engineering 6 1 45–55.
IEEE D. D. Olodu, F. Inegbedion, and J. N. Ayidu, “Development of a smart manufacturing system using IoT and industry 4.0 principles”, J Adv Manuf Eng, vol. 6, no. 1, pp. 45–55, 2025, doi: 10.14744/ytu.jame.2025.00006.
ISNAD Olodu, Dickson David et al. “Development of a Smart Manufacturing System Using IoT and Industry 4.0 Principles”. Journal of Advances in Manufacturing Engineering 6/1 (June2025), 45-55. https://doi.org/10.14744/ytu.jame.2025.00006.
JAMA Olodu DD, Inegbedion F, Ayidu JN. Development of a smart manufacturing system using IoT and industry 4.0 principles. J Adv Manuf Eng. 2025;6:45–55.
MLA Olodu, Dickson David et al. “Development of a Smart Manufacturing System Using IoT and Industry 4.0 Principles”. Journal of Advances in Manufacturing Engineering, vol. 6, no. 1, 2025, pp. 45-55, doi:10.14744/ytu.jame.2025.00006.
Vancouver Olodu DD, Inegbedion F, Ayidu JN. Development of a smart manufacturing system using IoT and industry 4.0 principles. J Adv Manuf Eng. 2025;6(1):45-5.