A Vision 2030 Roadmap for Smart Connected Factories Using IoT and Advanced Automation in Saudi Arabia

References

[1] Akkari, N. (2025). Roadmap for enabling a sustainable development of 6G in Saudi Arabia. In D. Berkouk et al. (Eds.), Proceedings of the 1st International Conference on Creativity, Technology, and Sustainability. Springer. https://doi.org/10.1007/978-981-97-8588-9_13

[2] Alabdali, S. A., & Pileggi, S. F. (2025). A research framework to identify determinants for smart technology adoption in rural regions. In D. Berkouk et al. (Eds.), Proceedings of the 1st International Conference on Creativity, Technology, and Sustainability. Springer. https://doi.org/10.1007/978-981-97-8588-9_1

[3] Büchi, G., Cugno, M., & Castagnoli, R. (2020). Smart factory performance and Industry 4.0. Technological Forecasting and Social Change, 150, 119790. https://doi.org/10.1016/j.techfore.2019.119790

[4] Chen, S., Zhang, Y., & Wang, X. (2025). AI-enhanced digital twins in maintenance: A systematic review and industry perspective. Journal of Manufacturing Systems, 76, 210-228. https://doi.org/10.1016/j.jmsy.2025.03.006

[5] El-Taj, H., Albuluwi, R., Alshumesi, L., Miralam, L., Alammari, R., & Amer, H. (2025). Through the lens: A deep dive into IP camera security and privacy challenges. In D. Berkouk et al. (Eds.), Proceedings of the 1st International Conference on Creativity, Technology, and Sustainability. Springer. https://doi.org/10.1007/978-981-97-8588-9_12

[6] Folgado, F. J., Calderón, A. J., & González, I. (2024). Review of Industry 4.0 from the perspective of automation and supervision systems. Electronics, 13(4), 782. https://doi.org/10.3390/electronics13040782

[7] Frank, A. G., Mendes, G. H. S., Ayala, N. F., & Ghezzi, A. (2021). Servitization and Industry 4.0 convergence in the digital transformation of product firms. Industrial Marketing Management, 93, 341-351. https://doi.org/10.1016/j.indmarman.2020.12.018

[8] Ghobakhloo, M. (2020). Industry 4.0, digitization, and opportunities for sustainability. Journal of Cleaner Production, 252, 119869. https://doi.org/10.1016/j.jclepro.2019.119869

[9] Javaid, M., Haleem, A., Singh, R. P., Suman, R., & Gonzalez, E. S. (2021). Understanding the adoption of Industry 4.0 technologies in improving environmental sustainability. Sustainable Operations and Computers, 3, 203-217. https://doi.org/10.1016/j.susoc.2021.10.008

[10] Kaur, T., Singh, P., & Kumar, R. (2025). Unlocking predictive maintenance in Industry 4.0: A digital twin review. International Journal of Science and Advanced Technology, 11(2), 140-157.

[11] Lee, J., Davari, H., Singh, J., & Pandhare, V. (2020). Industrial artificial intelligence for Industry 4.0-based manufacturing systems. Manufacturing Letters, 18, 20-23. https://doi.org/10.1016/j.mfglet.2018.09.002

[12] Marcon, É., Soliman, M., Gerstlberger, W., & Frank, A. G. (2022). Sociotechnical factors and Industry 4.0 adoption in manufacturing. Technological Forecasting and Social Change, 174, 121312. https://doi.org/10.1016/j.techfore.2021.121312

[13] Ministry of Industry and Mineral Resources. (2025). Future Factories Program Initiative. Government of Saudi Arabia.

[14] National Industrial Development and Logistics Program. (2021). National Industrial Strategy: Transforming Saudi Arabia into a leading industrial power and global logistics hub. Government of Saudi Arabia.

[15] Saudi Vision 2030. (2025). National Industrial Strategy. Government of Saudi Arabia.

[16] Saudi Industrial Development Fund. (2023). Market in focus: Digitalization in the manufacturing sector. SIDF.

[17] Tao, F., Qi, Q., Wang, L., & Nee, A. Y. C. (2022). Digital twins and cyber-physical systems toward smart manufacturing and Industry 4.0. Engineering, 8, 35-40. https://doi.org/10.1016/j.eng.2021.05.014

[18] Wang, B., Tao, F., Fang, X., Liu, C., Liu, Y., & Freiheit, T. (2021). Smart manufacturing and intelligent manufacturing: A comparative review. Engineering, 7(6), 738-757. https://doi.org/10.1016/j.eng.2020.07.017

[19] Xu, L. D., Xu, E. L., & Li, L. (2021). Industry 4.0: State of the art and future trends. International Journal of Production Research, 59(12), 3753-3768. https://doi.org/10.1080/00207543.2021.1891705

[20] Zheng, P., Wang, H., Sang, Z., Zhong, R. Y., Liu, Y., Liu, C., Mubarok, K., Yu, S., & Xu, X. (2020). Smart manufacturing systems for Industry 4.0: Conceptual framework and operational principles. Robotics and Computer-Integrated Manufacturing, 63, 101866. https://doi.org/10.1016/j.rcim.2019.101866

[21] Dalenogare, L. S., Benitez, G. B., Ayala, N. F., & Frank, A. G. (2021). The expected contribution of Industry 4.0 technologies for industrial performance. International Journal of Production Economics, 204, 383-394. https://doi.org/10.1016/j.ijpe.2018.08.019

[22] Kamble, S. S., Gunasekaran, A., & Sharma, R. (2020). Modeling the blockchain enabled traceability in agriculture supply chain. International Journal of Information Management, 52, 101967. https://doi.org/10.1016/j.ijinfomgt.2019.05.023

[23] Kusiak, A. (2020). Smart manufacturing must embrace big data. Nature, 544, 23-25. https://doi.org/10.1038/544023a

[24] Mittal, S., Khan, M. A., Romero, D., & Wuest, T. (2020). Smart manufacturing: Characteristics, technologies and enabling factors. Proceedings of the Institution of Mechanical Engineers, Part B, 234(5), 693-705. https://doi.org/10.1177/0954405419889627

[25] Müller, J. M., Kiel, D., & Voigt, K. I. (2020). What drives the implementation of Industry 4.0? The role of opportunities and challenges in the context of sustainability. Sustainability, 12(8), 3280. https://doi.org/10.3390/su12083280

[26] Nagy, J., Oláh, J., Erdei, E., Máté, D., & Popp, J. (2020). The role and impact of Industry 4.0 and the internet of things on the business strategy of the value chain. Sustainability, 12(11), 4674. https://doi.org/10.3390/su12114674

[27] Sony, M., Naik, S., Antony, J., & Park, S. (2021). Critical factors for the successful implementation of Industry 4.0: A review and future research direction. Production Planning & Control, 32(10), 799-815. https://doi.org/10.1080/09537287.2020.1758253

[28] Zhong, R. Y., Dai, Q. Y., Qu, T., Hu, G. J., & Huang, G. Q. (2020). RFID-enabled real-time manufacturing execution system for mass-customization production. Robotics and Computer-Integrated Manufacturing, 66, 101997. https://doi.org/10.1016/j.rcim.2020.101997

[29] Kamble, S., Gunasekaran, A., & Dhone, N. C. (2020). Industry 4.0 and lean manufacturing practices for sustainable organisational performance in Indian manufacturing companies. International Journal of Production Research, 58(5), 1319-1337. https://doi.org/10.1080/00207543.2019.1630772

[30] Queiroz, M. M., Ivanov, D., Dolgui, A., & Wamba, S. F. (2022). Impacts of epidemic outbreaks on supply chains: Mapping a research agenda amid the COVID-19 pandemic through a structured literature review. Annals of Operations Research, 319, 1159-1196. https://doi.org/10.1007/s10479-020-03685-7

@article{1719108,
      author = {Muhammad Kamran Asad},
      title = {A Vision 2030 Roadmap for Smart Connected Factories Using IoT and Advanced Automation in Saudi Arabia},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {12},
      pages = {3608-3620},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1719108.pdf},
      abstract = {Smart connected factories are becoming a practical pathway for Saudi Arabia to translate Vision 2030 industrial ambitions into measurable productivity, quality, sustainability, and localization outcomes. This review develops a Vision 2030 roadmap for factories that combine Industrial Internet of Things (IIoT), advanced automation, edge computing, artificial intelligence, digital twins, robotics, cybersecurity, and human-centred skills development. The study synthesizes peer reviewed literature published between 2020 and 2025, official Saudi industrial transformation priorities, and the technology-adoption logic reflected in contemporary Springer proceedings on technology, sustainability, and IoT-oriented innovation. The aim is not to propose a single vendor solution, but to frame a staged transformation model that Saudi manufacturers, industrial policymakers, and technology partners can adapt according to sector maturity and operational risk. The review shows that smart connected factories require four connected layers: a secure physical layer of sensors, controllers, robots, and energy meters; a resilient connectivity layer based on industrial protocols and private wireless networks; an intelligence layer that transforms raw data into digital twins, anomaly detection, scheduling, and predictive maintenance; and a governance layer that links operational decisions to Vision 2030 indicators such as non-oil industrial growth, high-quality jobs, export competitiveness, and resource efficiency. The proposed roadmap begins with readiness diagnosis and data governance, progresses through connected assets and automation pilots, moves into analytics-driven optimization, and culminates in scaled autonomous production ecosystems. The review contributes a structured methodology, two conceptual models, and an implementation matrix for smart factory modernization in Saudi Arabia.},
      keywords = {Saudi Vision 2030, Smart Factories, Industrial Internet of Things, Advanced Automation, Digital Twins, Predictive Maintenance, Cybersecurity, Industry 4.0, Saudi Manufacturing.},
      month = {June},
      doi = {https://doi.org/10.64388/IREV9I12-1719108}
  }