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March 13, 2026Open Access

A Methodological Evaluation and Time-Series Forecasting Model for Process-Control System Cost-Effectiveness in Ghana (2000–2026)

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Authors

ABAma Serwaa BoatengEOEsi Nyarko OforiKMKofi Mensah-Agyei

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Overview

This case study evaluates cost-effectiveness in process-control systems in Ghana, suggesting data-driven maintenance strategies.

Key Points

  • The aim is to develop a time-series forecasting model for evaluating cost-effectiveness of process-control systems.
  • Utilized longitudinal operational and financial data from multiple industrial sites.
  • Employed an Autoregressive Integrated Moving Average with exogenous variables (ARIMAX) model.
  • Conducted checks for stationarity and residual autocorrelation in the model.
  • Forecasting indicates a significant positive relationship between maintenance spending and cost-effectiveness (coefficient of 0.85).
  • Projections show a potential 18% improvement in cost-benefit ratio with increased preventative maintenance over five years.

Cite This Study

Boateng et al. (2021) studied this question.

synapsesocial.com/papers/69b3acb202a1e69014cce976https://doi.org/10.5281/zenodo.18968753
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Also Consider

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  1. 1Methodological Evaluation and Time-Series Forecasting for Cost-Effectiveness of Process-Control Systems in Uganda2001
  2. 2Replication and Validation of a Time-Series Forecasting Model for Process-Control System Cost-Effectiveness in Senegal (2000–2026)2007
  3. 3Methodological Evaluation and Time-Series Forecasting for Process-Control System Efficiency Gains in Nigeria (2000–2026)2001
  4. 4Methodological Evaluation and Time-Series Forecasting for Process-Control System Efficiency Gains in Nigeria (2000–2026)2001
  5. 5Methodological Evaluation and Time-Series Forecasting for Yield Improvement in Senegalese Process-Control Systems2024