A Data-Driven Industrial Engineering Approach: Enhancing Operational Efficiency in Manufacturing and Service Sectors

This study highlights the application of Kaizen principles and Industrial Engineering (IE) tools to improve operational efficiency in manufacturing and service sectors. By fostering a culture of continuous improvement, Kaizen emphasizes employee involvement, incremental changes, and systematic problem-solving to eliminate waste and enhance processes. Using a dataset comparing pre-improved and improved performance metrics, this study demonstrates the significant impact of these approaches. Key improvements include a reduction in production time from 120.5 to 98.2 minutes, a decrease in downtime from 6.8 to 3.4 hours, and a defect rate drop from 4.2% to 1.5%. Additionally, energy consumption declined by 21.6%, employee utilization increased from 78% to 92%, and throughput rose from 65 to 82 units per hour. Kaizen tools such as value stream mapping, Total Productive Maintenance (TPM), and poka-yoke, combined with IE techniques like time-motion studies and reliability analysis, drove these outcomes. The study underscores the transformative power of Kaizen and IE tools in optimizing productivity, resource usage, and customer satisfaction. By implementing these strategies, organizations can achieve sustainable operational excellence, remain competitive, and foster a proactive culture of continuous improvement.