| Abstract: | This study aims to evaluate the application and effectiveness of Statistical Process Control (SPC) tools in enhancing quality and operational efficiency at Belayab Cable Manufacturing PLC, a key player in Ethiopia's cable production industry. As global competition and customer expectations continue to rise, manufacturers are increasingly turning to SPC as a data-driven approach to monitor, control, and improve production processes. Using a descriptive research design, this study employed both quantitative and qualitative data collection methods, including structured questionnaires and interviews with quality control personnel, supervisors, and production staff. The research focused on identifying which SPC tools are currently in use—such as control charts, histograms, Pareto diagrams, and cause-and-effect diagrams—and assessing their impact on reducing process variability and improving product quality.
Findings reveal that while awareness of SPC concepts is moderately high among employees, the practical application of these tools is inconsistent and often limited to basic control charts. Factors such as inadequate training, lack of management commitment, and insufficient data infrastructure were found to hinder full-scale implementation. Nonetheless, statistical analysis indicates a positive correlation between the use of SPC tools and improvements in defect rates, process stability, and customer satisfaction. The study recommends enhancing employee training programs, integrating SPC into daily production monitoring, and adopting a more strategic approach to quality management. These steps are expected to maximize the benefits of SPC and drive continuous improvement in the manufacturing process. |
