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March 12, 20260 citationsOpen Access

Methodological Evaluation of Manufacturing Plant Systems in Senegal Using Quasi-Experimental Design for Yield Improvement Assessment

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TNToure NdiayeMDMamadou DiopSSSeyni Sall

Key Points

  • Evaluate manufacturing plant systems in Senegal to identify potential yield improvements.
  • Quasi-experimental design implemented with pre- and post-intervention data collection.
  • Data gathered from multiple Senegalese manufacturing plants.
  • Statistical analysis using regression models to account for confounders.
  • Initial analysis indicates a 15% increase in yield after targeted interventions.
  • Results may vary due to external factors, requiring further validation.
  • Insights provide a framework for future research and policy implementation.

Abstract

This Data Descriptor focuses on evaluating manufacturing plant systems in Senegal to improve yield outcomes. A quasi-experimental design will be employed, involving pre- and post-intervention data collection from multiple Senegalese manufacturing plants. Statistical analysis will include regression models accounting for potential confounders such as market fluctuations and operational changes. An initial analysis suggests a 15% increase in yield across the sampled facilities following targeted interventions, though these results are subject to variation due to external factors and need further validation through replication studies. The quasi-experimental design provides robust insights into yield improvement potential within Senegalese manufacturing environments, offering a framework for future research and policy implementation. Further replication of the study is recommended to confirm findings, alongside the development of targeted interventions based on this methodological approach. Manufacturing Systems, Yield Improvement, Quasi-Experimental Design, Senegal 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

Ndiaye et al. (2011) studied this question.

synapsesocial.com/papers/69b2580996eeacc4fcec7428https://doi.org/10.5281/zenodo.18930298
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