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Enhancing Garri Production Quality: Implementing Six Sigma and Statistical Process Control in Imo State's Agro-Processing Hubs for Defect Reduction and Export Enhancement

Egbukichi Ugonna Johnbull, Raphael Michael ugochukwu, Ajiyo Oladimeji Joshua

Abstract

Garri, a staple cassava derived product in West Africa, faces persistent quality challenges due to traditional processing methods that result in inconsistent moisture content, nutrient loss, and sensory defects. This study explores the application of Six Sigma methodology and Statistical Process Control (SPC) to improve garri production quality in agro-processing hubs across Imo State, Nigeria. Using the DMAIC framework, key sources of defects were identified and controlled, leading to measurable improvements in product consistency, reduced waste, and enhanced export readiness. The findings demonstrate that structured quality management tools can significantly enhance agro-processing efficiency and promote sustainable development in Nigeria's rural economies.

Keywords

Garri productionSix SigmaDMAICstatistical process controldefect reductioncassava processingexport potentialImo State

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