Harnessing Smart Artificial Intelligence for Industrial 4.0: A South African Case Study of Manufacturing Industry
Mogoale P. M. 1, Pretorius A. B. 1 , Mogase R. C. 1 , Segooa M. A. 1
1 Tshwane University of Technology, South Africa
The global trend towards Industry 4.0 has raised demand to incorporate technology in the manufacturing industry. This new paradigm requires cyber-physical systems, the Internet of Things (IoT), and Artificial Intelligence (AI) to enhance the efficiency and competitiveness of traditional industrial methods. Industry 4.0 incorporates Smart Artificial Intelligence (SAI) to enhance efficiency, digitalise production, and automate the intelligent processing of commodities. Despite the benefits SAI technology carries, many South African industries struggle to realise its full potential due to resource and financial constraints. This chapter discusses the challenges of SAI adoption and how the manufacturing sector leverages SAI to enhance its productivity and competitiveness. A systematic literature review was conducted. ScienceDirect publications from 2022-2025 period were reviewed. Only the review and research papers, focusing on the SA manufacturing industry, were considered. The findings reveal how the use of SAI in South Africa (SA) is hindered, thereby constraining innovation and productivity. SAI promotes manufacturing in the country; inadequate infrastructure, a lack of funding are the biggest obstacles to implementing SAI in SA. A contribution about how SAI technology is leveraged in the SA manufacturing industry was established, advancing knowledge that may inform industry leaders.
smart artificial intelligence, South Africa, smart manufacturing, industry 4.0, systematic literature review.
APA
Mogoale, P. M., Pretorius, A. B., Mogase, R. C., & Segooa, M. A. (2026). Harnessing smart artificial intelligence for industrial 4.0: A South African case study of manufacturing industry. In Y. B. Melnyk & M. A. Segooa (Eds.), Artificial Intelligence in Digital Society, Vol. 1. (pp. 132–145). KRPOCH. https://doi.org/10.26697/aids.2026.9
Harvard
Mogoale, P. M., Pretorius, A. B., Mogase, R. C., & Segooa, M. A. "Harnessing smart artificial intelligence for industrial 4.0: A South African case study of manufacturing industry. In Y. B. Melnyk & M. A. Segooa (Eds.)". Artificial Intelligence in Digital Society, Vol. 1. [online] pp. 132–145. viewed 10 March 2026, https://culturehealth.org/hogokz_knigi/Arhiv_DOI/aids/aids.2026.9.pdf Vancouver
Mogoale P. M., Pretorius A. B., Mogase R. C., & Segooa M. A. Harnessing smart artificial intelligence for industrial 4.0: A South African case study of manufacturing industry. In Y. B. Melnyk & M. A. Segooa (Eds.). Artificial Intelligence in Digital Society, Vol. 1. [Internet]. [cited 10 March 2026]; 132–145. Available from: https://doi.org/10.26697/aids.2026.9 https://culturehealth.org/hogokz_knigi/Arhiv_DOI/aids/aids.2026.9.pdf
Mogoale Phumzile Mseteka – https://orcid.org/0000-0003-1770-5739; PhD, Dr, Postdoctoral Research Fellow, Tshwane University of Technology, Pretoria, South Africa.
Pretorius Agnieta Beatrijs – https://orcid.org/0000-0002-6510-2468; Doctor of Technologiae, Dr, Senior Lecturer and Assistant Dean, Tshwane University of Technology, Pretoria, South Africa.
Segooa Mmatshuene Anna – https://orcid.org/0000-0002-4190-8256; Doctor of Computing, Dr, Senior Lecturer, Tshwane University of Technology, Pretoria, South Africa.