Adoption of Smart Factories in Nigeria: Problems, Obstacles, Remedies and Opportunities
Keywords:
Smart factories, Technological Adoption, Industrial Internet of Things (IIoT), Manufacturing automation, Industry 4.0Abstract
The manufacturing sector in Nigeria, which includes industries such as food and beverages, textiles, chemicals, and automotive, faces significant challenges due to outdated infrastructure, limited access to advanced technologies, and a shortage of skilled labour. Foreign Direct Investment (FDI) plays a crucial role in improving sector performance, highlighting the need for strategic interventions. While some firms still use traditional methods, others explore smart manufacturing technologies. Early adopters of smart manufacturing demonstrate potential benefits and obstacles, such as inadequate infrastructure, high costs, limited access to advanced technologies, economic barriers, skills gaps, brain drain, inadequate government support, and regulatory hurdles. To address these issues, the paper recommends developing infrastructure, forming partnerships with tech firms, providing government subsidies and grants, encouraging private investment, and enhancing workforce development through training and collaboration with educational institutions. Policy recommendations include creating supportive regulations and establishing industry standards to promote smart manufacturing. The paper also examines successful implementations of smart factories in other countries and suggests initiating pilot projects in Nigeria to demonstrate feasibility and benefits. Adopting smart manufacturing technologies is forecasted to positively impact Nigeria's economy by increasing productivity, efficiency, and competitiveness in the manufacturing sector.
References
Agbo, F., Oyelere, S., Suhonen, J., & Tukiainen, M. (2019). Identifying potential design features of a smart learning environment for programming education in Nigeria. International Journal of Learning Technology, 14(4), 331. https://doi.org/10.1504/ijlt.2019.106551
Aliu, J. (2023). Exploring the critical success factors for adopting gamification in the Nigerian construction sector. Built Environment Project and Asset Management, 14(2), 184-200. https://doi.org/10.1108/bepam-08-2023-0150
Alohan, E., Oyetunji, A., Amaechi, C., Dike, E., & Chima, P. (2023). An agreement analysis on the perception of property stakeholders for the acceptability of smart buildings in the Nigerian built environment. Buildings, 13(7), 1620. https://doi.org/10.3390/buildings13071620
Asaleye, A., Adama, I., & Ogunjobi, J. (2018). Financial sector and manufacturing sector performance: evidence from Nigeria. Investment Management and Financial Innovations, 15(3), 35-48. https://doi.org/10.21511/imfi.15(3).2018.03
Avenyo, E. (2024). Determinants of digital technologies' adoption in south African manufacturing: evidence from a firm‐level survey. South African Journal of Economics, 92(2), 235-259. https://doi.org/10.1111/saje.12378
Bagherian, A. (2024). Smart factory advancement in industry 4.0: exploring barriers and strategic approaches through empirical investigation. https://doi.org/10.21203/rs.3.rs-4114610/v1
Bello, K. (2024). Recent advances in smart manufacturing: a case study of small, medium, and micro enterprises (smme). Nigerian Journal of Technological Development, 21(1), 29-41. https://doi.org/10.4314/njtd.v21i1.1905
Buba, A., Ibrahim, O., & Shehzad, H. (2021). Behavioural intention model for green information technology adoption in Nigerian manufacturing industries. Aslib Journal of Information Management, 74(1), 158-180. https://doi.org/10.1108/ajim-05-2021-0128
Cha, C. (2023). A maturity model for diagnosing the capabilities of smart factory solution suppliers and its pilot application. Systems, 11(12), 569. https://doi.org/10.3390/systems11120569
Chidebe, R. (2023). Brain drains in cancer care: the shrinking clinical oncology workforce in Nigeria. Jco Global Oncology, (9). https://doi.org/10.1200/go.23.00257
Das, S. (2024). Transforming agriculture: harnessing robotics and drones for sustainable farming solution. Journal of Experimental Agriculture International, 46(7), 219-231. https://doi.org/10.9734/jeai/2024/v46i72577
Dasaklis, T., Voutsinas, T., Tsoulfas, G., & Casino, F. (2022). A systematic literature review of blockchain-enabled supply chain traceability implementations. Sustainability, 14(4), 2439. https://doi.org/10.3390/su14042439
Edeme, R., Nchege, J., & Dorathy, I. (2020). Infrastructure development, capacity utilization and manufacturing value added in Nigeria. The Economics and Finance Letters, 7(2), 104-111. https://doi.org/10.18488/journal.29.2020.72.104.111
Ejidike, C., Mewomo, M., & Anugwo, I. (2022). Assessment of construction professionals' awareness of the smart building concepts in the Nigerian construction industry. Journal of Engineering Design and Technology. https://doi.org/10.1108/jedt-05-2022-0263
Evjemo, L., Gjerstad, T., Grøtli, E., & Sziebig, G. (2020). Trends in smart manufacturing: role of humans and industrial robots in smart factories. Current Robotics Reports, 1(2), 35-41. https://doi.org/10.1007/s43154-020-00006-5
Fauska, C. and Kniežová, J. (2023). Information and communication integration in smart factory design. F1000research, 11, 1026. https://doi.org/10.12688/f1000research.122355.2
Gupta, H., Kusi‐Sarpong, S., & Rezaei, J. (2020). Barriers and overcoming strategies to supply chain sustainability innovation. Resources Conservation and Recycling, 161, 104819. https://doi.org/10.1016/j.resconrec.2020.104819
Hamja, A., Hasle, P., & Hansen, D. (2021). Transfer mechanisms for lean implementation with ohs integration in the garment industry. International Journal of Productivity and Performance Management, 71(8), 3534-3555. https://doi.org/10.1108/ijppm-06-2020-0314
Idoko, C. and Taiga, U. (2018). Effect of foreign direct investment (fdi) on manufacturing output in Nigeria (1981 – 2016). Advances in Social Sciences Research Journal, 5(5). https://doi.org/10.14738/assrj.55.4319
Ifeanyi-obi, C., Issa, F., Aderinoye-Abdulwahab, S., Ayinde, A., Umeh, O., & Tologbonse, E. (2022). Promoting uptake and integration of climate smart agriculture technologies, innovations and management practices into policy and practice in Nigeria. International Journal of Climate Change Strategies and Management, 14(4), 354-374. https://doi.org/10.1108/ijccsm-09-2021-0101
Imran, M., Hameed, W., & Haque, A. (2018). Influence of industry 4.0 on the production and service sectors in Pakistan: evidence from textile and logistics industries. Social Sciences, 7(12), 246. https://doi.org/10.3390/socsci7120246
Ita, I., Ekpo, N., Chike, E., Anthony, O., & Loveth, O. (2023). The contributions of exchange rate on the growth of manufacturing sector in Nigeria: an econometric approach. Law and Economy, 2(3), 22-28. https://doi.org/10.56397/le.2023.03.04
Kalsoom, T., Ramzan, N., Ahmed, S., & Ur-Rehman, M. (2020). Advances in sensor technologies in the era of smart factory and industry 4.0. Sensors, 20(23), 6783. https://doi.org/10.3390/s20236783
Khan, R. (2023). Causes and consequences of the shortage of physicians in Sindh, Pakistan: a local perspective. Journal of the Pakistan Medical Association, 73(8), 1693-1700. https://doi.org/10.47391/jpma.7593
Lee, K. (2023). Adopting smart supply chain and smart technologies to improve operational performance in manufacturing industry. International Journal of Engineering Business Management, 15. https://doi.org/10.1177/18479790231200614
Liu, L., Ju, J., & Hu, Q. (2019). Impact of governance structure characteristics of public-private partnerships on smart city project success: evidence from a multi-case study in China. https://doi.org/10.24251/hicss.2019.397
Liu, T., Mostafa, S., Mohamed, S., & Nguyen, T. (2020). Emerging themes of public-private partnership application in developing smart city projects: a conceptual framework. Built Environment Project and Asset Management, 11(1), 138-156. https://doi.org/10.1108/bepam-12-2019-0142
Lu, Y., Liu, C., Wang, K., Huang, H., & Xu, X. (2020). Digital twin-driven smart manufacturing: connotation, reference model, applications and research issues. Robotics and Computer-Integrated Manufacturing, 61, 101837. https://doi.org/10.1016/j.rcim.2019.101837
Lv, D. and Zhu, Y. (2022). Evolution of knowledge structure in an emerging field based on a triple helix model: the case of smart factory. Journal of the Knowledge Economy, 14(4), 4583-4607. https://doi.org/10.1007/s13132-022-01073-z
Meng, Y., Yang, Y., Chung, H., Lee, P., & Shao, C. (2018). Enhancing sustainability and energy efficiency in smart factories: a review. Sustainability, 10(12), 4779. https://doi.org/10.3390/su10124779
Mgbemena, C. E., & Okeagu, F. N. (2023). Development of an IoT-based real-time remote monitoring device for the maintenance of injection moulding machines in plastic industries. UNIZIK Journal of Engineering and Applied Sciences, 2(1), 260–278.
Mgbemena, C. E., Onuoha, D. O., & Godwin, H. C. (2023). Development of a novel virtual reality-enabled remote monitoring device for maintenance of cathodic protection systems on oil and gas pipelines. Scientific Reports, 13(1), 1–15. https://doi.org/10.1038/s41598-023-43159-x
Mohamed, N., Al-Jaroodi, J., & Lazarova-Molnar, S. (2019). Leveraging the capabilities of industry 4.0 for improving energy efficiency in smart factories. Ieee Access, 7, 18008-18020. https://doi.org/10.1109/access.2019.2897045
Mostafa, N., Hamdy, W., & Alawady, H. (2019). Impacts of internet of things on supply chains: a framework for warehousing. Social Sciences, 8(3), 84. https://doi.org/10.3390/socsci8030084
Muhammad, A., Umar, U., & Adam, F. (2023). The impact of artificial intelligence and machine learning on workforce skills and economic mobility in developing countries: a case study of Ghana and Nigeria. Journal of Technology Innovations and Energy, 2(1), 55-61. https://doi.org/10.56556/jtie.v2i1.466
Nwamekwe, C. O., Chinwuko, C. E. & Mgbemena, C. E. (2020). Development and Implementation of a Computerised Production Planning and Control System. UNIZIK Journal of Engineering and Applied Sciences, 17(1), 168-187.
Oke, A. (2023). Evaluating the drivers for the implementation of automation techniques in the Nigerian construction sector. Built Environment Project and Asset Management, 13(6), 913-928. https://doi.org/10.1108/bepam-04-2023-0085
Okeagu, F. N., & Mgbemena, C. E. (2022). A SYSTEMATIC REVIEW OF DIGITAL TWIN SYSTEMS FOR IMPROVED PREDICTIVE MAINTENANCE OF EQUIPMENT IN SMART FACTORIES. INTERNATIONAL JOURNAL OF INDUSTRIAL AND PRODUCTION ENGINEERING, 1(1), 1–20.
Okereke, M., Adekunbi, A., & Ghazali, Y. (2021). Why Nigeria must strengthen its local pharmaceutical manufacturing capacity. Innovations in Pharmacy, 12(4), 3. https://doi.org/10.24926/iip.v12i4.4208
Onaolapo, s. and Oyewole, O. (2018). Performance expectancy, effort expectancy, and facilitating conditions as factors influencing smart phones use for mobile learning by postgraduate students of the university of Ibadan, Nigeria. Interdisciplinary Journal of E-Skills and Lifelong Learning, 14, 095-115. https://doi.org/10.28945/4085
Onuoha, D. O., Mgbemena, C. E., Godwin, H. C., & Okeagu, F. N. (2022). APPLICATION OF INDUSTRY 4.0 TECHNOLOGIES FOR EFFECTIVE REMOTE MONITORING OF CATHODIC PROTECTION SYSTEM OF OIL AND GAS PIPELINES-A SYSTEMATIC REVIEW. In INTERNATIONAL JOURNAL OF INDUSTRIAL AND PRODUCTION ENGINEERING (Vol. 1, Issue 2). https://journals.unizik.edu.ng/index.php/ijipe/
Onyeneke, R., Amadi, M., Njoku, C., & EE, O. (2021). Climate change perception and uptake of climate-smart agriculture in rice production in Ebonyi state, Nigeria. Atmosphere, 12(11), 1503. https://doi.org/10.3390/atmos12111503
Orji, I. J., U-Dominic, C. M., & Okwara, U. K. (2021). Exploring the determinants in circular supply chain implementation in the Nigerian manufacturing industry. Sustainable Production and Consumption, 29, 761-776. https://doi.org/10.1016/j.spc.2021.11.023
Osakwe, A., Ibenta, S., & Ezeabasili, V. (2019). Monetary policy and the performance of the manufacturing sector in nigeria (1986-2017). International Journal of Academic Research in Business and Social Sciences, 9(2). https://doi.org/10.6007/ijarbss/v9-i2/5553
Rahmani, R. (2024). Implementations of digital transformation and digital twins: exploring the factory of the future. Processes, 12(4), 787. https://doi.org/10.3390/pr12040787
Rane, T. and Huang, J. (2023). Blockchain-based digital trust mechanism: a use case of cloud manufacturing of lds syringes for covid-19 vaccination. Journal of Integrated Design and Process Science, 26(2), 103-129. https://doi.org/10.3233/jid-210021
Sajadieh, M., Son, Y., & Noh, S. (2022). A conceptual definition and future directions of urban smart factory for sustainable manufacturing. Sustainability, 14(3), 1221. https://doi.org/10.3390/su14031221
Samani, A. and Saghafi, F. (2023). A hybrid model of implementing a smart production factory within the industry 4.0 framework. Journal of Modelling in Management, 19(1), 215-239. https://doi.org/10.1108/jm2-07-2022-0185
Sjödin, D., Parida, V., Leksell, M., & Petrovic, A. (2018). Smart factory implementation and process innovation. Research-Technology Management, 61(5), 22-31. https://doi.org/10.1080/08956308.2018.1471277
Sofić, A., Rakić, S., Pezzotta, G., Markoski, B., Arioli, V., & Marjanović, U. (2022). Smart and resilient transformation of manufacturing firms. Processes, 10(12), 2674. https://doi.org/10.3390/pr10122674
Solms, J. (2020). Integrating regulatory technology (regtech) into the digital transformation of a bank treasury. Journal of Banking Regulation, 22(3), 191-207. https://doi.org/10.1057/s41261-020-00138-w
Tan, S. and Taeihagh, A. (2020). Smart city governance in developing countries: a systematic literature review. Sustainability, 12(3), 899. https://doi.org/10.3390/su12030899
Ugwu, C. (2023). Exchange rate fluctuations and firm’s survival: evidence manufacturing contribution to the Nigerian economic growth. Journal of Economics and Business, 6(3). https://doi.org/10.31014/aior.1992.06.03.520
Wu, Y., Dai, H., & Tang, H. (2022). Graph neural networks for anomaly detection in industrial internet of things. Ieee Internet of Things Journal, 9(12), 9214-9231. https://doi.org/10.1109/jiot.2021.3094295
Xing, F., Peng, G., Wang, J., & Li, D. (2022). Critical obstacles affecting adoption of industrial big data solutions in smart factories. Journal of Global Information Management, 30(1), 1-21. https://doi.org/10.4018/jgim.314789
Zayyad, M. and Toycan, M. (2018). Factors affecting sustainable adoption of e-health technology in developing countries: an exploratory survey of nigerian hospitals from the perspective of healthcare professionals. Peerj, 6, e4436. https://doi.org/10.7717/peerj.4436
Zhang, Y. (2023). Smart city construction and urban green development: empirical evidence from China. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-44061-2
