Statistical Process Routing Optimization in the Product Line for Industrial Internet of Things

Internet-of-Things (IoT) is an emerging paradigm poised to drive success in the manufacturing execution system (MES). IoT focuses on improving the ability to connect numerous devices and processes, enhancing production capabilities, and providing process optimization and local data processing capabilities. This study focuses on applying statistical process routing optimization to enhance the production lines of the MES. The aim is to minimize wastage and improve the efficiency of the manufacturing process by optimizing the routing of processes of various production units. The study employs statistical analysis and mathematical modeling to identify the critical bottlenecks in the production line and propose optimization solutions. The study demonstrates the proposed approach’s effectiveness in identifying the capabilities of various production units and task completion time, demonstrating its trade-off between production units. The findings provide valuable insights for decision-making to improve the choice and performance of production lines for effective resource management.