Industrial machinery fleets systems are increasingly being adopted in Nigeria to optimise resource utilization and reduce operational costs. A difference-in-differences model was employed to assess the impact of industrial machinery fleets systems on operational costs and efficiency. The DiD approach compared changes in cost metrics before and after fleet implementation between treatment (fleets system adopted) and control groups (no adoption). The analysis revealed a significant reduction in maintenance costs by 20% for the intervention group, indicating the effectiveness of industrial machinery fleets systems. Industrial machinery fleets systems show promise in reducing operational costs while improving efficiency, as evidenced by the DiD model results. Further studies should explore scalability and cost-benefit analysis to validate these findings across different sectors and geographical regions. The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Obiakor et al. (Sat,) studied this question.
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