African Food Process Engineering | 01 April 2002
Methodological Evaluation of Manufacturing Systems in Senegal Using Time-Series Forecasting for Cost-Effectiveness Measures
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Abstract
{ "background": "Manufacturing systems in Senegal require effective cost-effectiveness measures to ensure sustainability and competitiveness.", "purposeandobjectives": "To evaluate manufacturing system methodologies in Senegal, specifically through time-series forecasting for cost analysis.", "methodology": "A time-series forecasting model was applied to analyse historical data from a selected manufacturing plant in Senegal. Robust standard errors were used to quantify the uncertainty in forecasts.", "findings": "The forecasted costs showed an average reduction of 12% over a five-year period, indicating potential savings and operational improvements.", "conclusion": "Time-series forecasting effectively identified cost-saving opportunities without requiring extensive empirical data collection.", "recommendations": "Manufacturing companies in Senegal should consider implementing similar time-series models for ongoing cost management.", "keywords": "time-series forecasting, manufacturing systems, cost-effectiveness, Senegal", "contribution<em>statement": "This study introduces a novel method for evaluating and optimising manufacturing costs using historical data analysis." } { "Background": "Manufacturing systems in Senegal require effective cost-effectiveness measures to ensure sustainability and competitiveness.", "Purpose and Objectives": "To evaluate manufacturing system methodologies in Senegal, specifically through time-series forecasting for cost analysis.", "Methodology": "A time-series forecasting model was applied to analyse historical data from a selected manufacturing plant in Senegal. Robust standard errors were used to quantify the uncertainty in forecasts.", "Findings": "The forecasted costs showed an average reduction of 12% over a five-year period, indicating potential savings and operational improvements.", "Conclusion": "Time-series forecasting effectively identified cost-saving opportunities without requiring extensive empirical data collection.", "Recommendations": "Manufacturing companies in Senegal should consider implementing similar time-series models for ongoing cost management.", "Keywords": "time-series forecasting, manufacturing systems, cost-effectiveness, Senegal", "Contribution Statement": "This study introduces a novel method for evaluating and optimising manufacturing costs using historical data analysis." } Structured The maintenance outcome was modelled as $Y</em>{it}=\beta<em>0+\beta</em>1X<em>{it}+u</em>i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.