African Geospatial Analysis (Technology/Methodology)

Advancing Scholarship Across the Continent

Vol. 2004 No. 1 (2004)

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Methodological Foundations for Evaluating Manufacturing Systems Yield Improvement in Rwanda: A Randomized Field Trial Approach

Ingimbi Jean-Paul, University of Rwanda Karuhairaba Japhet, Department of Electrical Engineering, University of Rwanda Kamwita Mutabazi, Rwanda Environment Management Authority (REMA)
DOI: 10.5281/zenodo.18795206
Published: November 7, 2004

Abstract

Manufacturing systems yield improvement in Rwanda is a critical area for economic development. Current methods often lack robust evaluation frameworks that can reliably measure and validate yield improvements. Theoretical and conceptual analysis will guide the design of randomized field trials. Statistical models will be employed to analyse yield data with robust standard errors. This theoretical framework provides a structured approach for evaluating yield improvements in Rwanda's manufacturing sector. Field trials and statistical analyses should be conducted systematically to ensure the reliability of results. Future studies could explore yield improvement across different sectors. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.

How to Cite

Ingimbi Jean-Paul, Karuhairaba Japhet, Kamwita Mutabazi (2004). Methodological Foundations for Evaluating Manufacturing Systems Yield Improvement in Rwanda: A Randomized Field Trial Approach. African Geospatial Analysis (Technology/Methodology), Vol. 2004 No. 1 (2004). https://doi.org/10.5281/zenodo.18795206

Keywords

Sub-Saharan AfricaGeographic Information Systems (GIS)Monte Carlo simulationsLean Six SigmaProcess MappingQuality Function Deployment (QFD)Benchmarking

References