Data-driven overview: This dashboard presents weekly metrics for the production line focusing on cycle time and defect rate in an end-to-end leather fabrication workflow. The chart compares two lines: Cycle Time (minutes) and Defect Rate (%) across 12 weeks. The Cycle Time shows a general downward trend as process improvements are introduced, such as tooling optimization, line balancing, and better quality control checks. The Defect Rate line remains relatively low but exhibits spikes after new material batches or setup changes, highlighting the importance of supplier quality and process stability. The data supports the idea that reducing cycle time does not necessarily increase defects; in this dataset, after week 5 interventions, cycle times drop significantly while defect rate remains stable, suggesting improved process capability. The dual-axis approach helps correlate changes: the episode where cycle time drops around week 7 coincides with a notable drop in defect rate, indicating effective integration of end-to-end improvements like line layout, batch scheduling, and inspection protocols. The chart emphasizes the relationship between throughput and quality: when cycle time is optimized, the production bottlenecks shift to downstream finishing operations, which is something to monitor. The insights are actionable: prioritize automation where the curve of cycle time shows steep declines, maintain strict incoming material quality to prevent defect spikes, and invest in training for operators at critical transition points. By aligning manufacturing capabilities with supplier performance and process management, the leather factory can achieve shorter delivery times without compromising quality. This dashboard can guide continuous improvement by setting targets for weekly cycle time reduction and defect rate containment, enabling a steady rise in overall end-to-end performance.