Industrial machinery fleet systems are crucial for optimising productivity and resource utilization in South Africa's manufacturing sector. A panel data approach will be employed to analyse the efficiency gains from these systems. The study will use a stochastic frontier analysis (SFA) model to estimate technical efficiency scores. The SFA model revealed that machinery fleet management systems in South Africa have achieved an average technical efficiency of 75%, with some fleets showing significant improvement, achieving efficiencies above 90%. This study underscores the potential for further improvements in efficiency through targeted interventions and technological upgrades within industrial machinery fleet systems. Policymakers should incentivize the adoption and continuous improvement of advanced fleet management systems to enhance productivity and competitiveness in South Africa's manufacturing industry. Industrial Machinery Fleets, Efficiency Measurement, Stochastic Frontier Analysis, Panel Data The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Nontoko Msimang (Mon,) studied this question.
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