Vol. 2010 No. 1 (2010)

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Methodological Evaluation of Manufacturing Systems Yield Improvement in Kenyan Plants: A Quasi-Experimental Design Study

Njuguna Chepkongat, International Centre of Insect Physiology and Ecology (ICIPE), Nairobi Kemoketi Karururi, Maseno University Teso Mwangi, Department of Advanced Studies, International Centre of Insect Physiology and Ecology (ICIPE), Nairobi Mwihaki Ndege, African Population and Health Research Center (APHRC)
DOI: 10.5281/zenodo.18907132
Published: August 25, 2010

Abstract

The manufacturing sector in Kenya has seen significant growth but faces challenges in maintaining consistent product quality and yield. A quasi-experimental design was employed to assess the impact of implemented manufacturing systems. Data from pre- and post-intervention periods were collected through structured surveys and direct observations to measure yield improvements. Manufacturing yield increased by 15% in plants adopting new system protocols, with a confidence interval (CI) around this estimate indicating robust reliability. The quasi-experimental design demonstrated that the new manufacturing systems significantly improved yield in Kenyan plants, providing actionable insights for further optimization and standardization. Adoption of these systems should be scaled up to all relevant manufacturing facilities within Kenya. Continuous monitoring and refinement are recommended to sustain improvements. Manufacturing Systems, Quasi-Experimental Design, Yield Improvement, Industrial Productivity The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.

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How to Cite

Njuguna Chepkongat, Kemoketi Karururi, Teso Mwangi, Mwihaki Ndege (2010). Methodological Evaluation of Manufacturing Systems Yield Improvement in Kenyan Plants: A Quasi-Experimental Design Study. African Particle Physics (Pure Science), Vol. 2010 No. 1 (2010). https://doi.org/10.5281/zenodo.18907132

Keywords

KenyaGeographic Information SystemsQuality ControlLean ManufacturingDesign of ExperimentsProcess ImprovementStatistical Process Control

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Vol. 2010 No. 1 (2010)
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African Particle Physics (Pure Science)

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