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February 25, 20260 citationsOpen Access

Methodological Evaluation of Manufacturing Systems in Senegal Using Time-Series Forecasting for Cost-Effectiveness Measures

TDTayebou DioneMSMamadou Salliga

Key Points

  • The aim is to assess manufacturing methodologies in Senegal through time-series forecasting for cost analysis.
  • Applied a time-series forecasting model to historical data from a manufacturing plant.
  • Used robust standard errors to quantify forecast uncertainty.
  • Forecasted costs showed an average reduction of 12% over five years.
  • Indicated potential savings and operational improvements.

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", "contributionₛtatement": "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 Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.

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Cite This Study

Dione et al. (2002) studied this question.

synapsesocial.com/papers/699e91c4f5123be5ed04f8d5https://doi.org/10.5281/zenodo.18750936
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