Multi‐Objective Comprehensive Approach for Flexible Assembly Job Shop Scheduling Problem with AGVs

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Proposed algorithm minimizes makespan and AGV working time in flexible job shop scenarios, suggesting enhanced scheduling.

The proposed method reduces makespan, energy consumption, and AGV working time effectively.
Simulation experiments show the improved adaptive NSGA-II algorithm outperforms existing methods in scheduling tasks.
The scheduling approach adapts dynamically to machine breakdowns, ensuring stability and robustness.
Ablation studies confirm that key elements like VNS significantly enhance solution quality and efficiency.

Yang et al. (2025) studied this question.

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