Proactive Acquisition of Workshop Material Tasks Based on the CTB Strategy

To address the challenges of dynamic task scheduling and path optimization in modern manufacturing workshop environments, this paper proposes a material delivery method based on a Concurrent Task-Based (CTB) proactive acquisition strategy. This strategy enables intelligent transport carriers to acquire new tasks in real-time during task execution and utilizes an improved NSGA-II algorithm for multi-objective optimization, thereby maximizing resource utilization. The performance of the traditional NSGA-II algorithm, the improved NSGA-II algorithm, and the greedy algorithm were compared through experiments. The results indicate that the improved NSGA-II algorithm outperforms in terms of task completion rate, idle rate, and path optimization, demonstrating superior adaptability and efficiency. This study offers a reference solution to the task scheduling problem in dynamic workshop environments and shows significant potential for practical application.