Contextual Intelligence: An AI Approach to Manufacturing Skills’ Forecasting
The manufacturing industry is skill-intensive and plays a pivotal role in South Africa’s economy, reflecting the nation’s progress and development. The advent of technology has initiated a transformative era within the manufacturing sector. Workforce skills are at the heart of ensuring the sustained growth of the industry. This study delves into the skill-related aspects of the occupational landscape of the South African manufacturing sector, with a particular focus on two important manufacturing sectors: the food and beverage manufacturing (FoodBev) sector and the chemical manufacturing (CHIETA) sector. Leveraging the forecasting prowess of Autoregressive Integrated Moving Average (ARIMA), this paper outlines a sectorial occupational forecasting modeling exercise to reveal which job roles are poised for expansion and which are expected to decline. The approach predicted future skills’ demand 80% accuracy for 473 out of 713 (66%) occupations for FoodBev and 474 out of 522 (91%) for CHIETA. These insights are invaluable for industry stakeholders and educational institutions, providing guidance to support the sector’s growth in an era marked by technological advancement.
Authors
- Xolani Maphisa
- Arnesh Telukdarie (ORCID: https://orcid.org/0000-0003-0057-3493)
- Mpho Godfrey Nkadimeng
Institutions
- University of Johannesburg (ZA)
Publication Details
- Journal
- Big Data and Cognitive Computing
- Published
- 2024-09-02
- DOI
- https://doi.org/10.3390/bdcc8090101
- Citations
- 1
- Primary Topic
- Scheduling and Optimization Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.35