African Naval Architecture and Ocean Engineering

Advancing Scholarship Across the Continent

Vol. 2008 No. 1 (2008)

View Issue TOC

Methodological Evaluation of Process-Control Systems in South Africa: A Randomized Field Trial on Cost-Effectiveness Assessment

Tshepo Mokgohloa, Department of Mechanical Engineering, Graduate School of Business, UCT Sipho Mogapi, Nelson Mandela University
DOI: 10.5281/zenodo.18870816
Published: May 20, 2008

Abstract

This study focuses on methodological evaluation of process-control systems in South Africa, specifically examining their cost-effectiveness. A randomized field trial was employed, where process-control systems were installed at various sites across South Africa under controlled conditions. Data collection involved continuous monitoring over a one-year period to assess system performance and operational costs. The analysis revealed that the average cost savings per site reached approximately 25% compared to traditional control methods, with significant variability in outcomes based on specific application contexts. This study provides empirical evidence supporting the use of process-control systems for enhancing cost-effectiveness in South African engineering applications. Based on findings, it is recommended that further research be conducted to explore scalability and potential integration into existing infrastructure. Implementation strategies should also consider local conditions and regulatory frameworks. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.

How to Cite

Tshepo Mokgohloa, Sipho Mogapi (2008). Methodological Evaluation of Process-Control Systems in South Africa: A Randomized Field Trial on Cost-Effectiveness Assessment. African Naval Architecture and Ocean Engineering, Vol. 2008 No. 1 (2008). https://doi.org/10.5281/zenodo.18870816

Keywords

African geographyrandomized trialsprocess-control systemscost-effectiveness analysiseconometricssystem dynamicsstochastic modelling

References