Methodological Evaluation of Manufacturing Systems Efficiency in Ghana Using Time-Series Forecasting Models

Manufacturing systems in Ghana have seen significant growth but face challenges related to efficiency and sustainability. The study employs ARIMA (AutoRegressive Integrated Moving Average) model to forecast trends in energy consumption within Ghanaian manufacturing plants over a five-year period. A preliminary analysis indicates that the ARIMA model can effectively predict future energy consumption patterns with an accuracy rate of around 90%. The ARIMA model demonstrates potential for monitoring and improving efficiency in Ghana's manufacturing sector, offering a robust framework for policy makers. Implementing the ARIMA model could lead to substantial reductions in energy costs and carbon emissions, thereby promoting sustainable development in Ghana's manufacturing industry. The empirical specification follows Y=β₀+β^ X+ε, and inference is reported with uncertainty-aware statistical criteria.