Dataset of Ship Block Scheduling

Figure10_raw_data.xlsx: The raw data used to generate Figure 10 in the paper. 2.2 Raw Input Data (Raw_input_Data) Three core Excel files define the basic parameters of the scheduling problem: 初始胎位信息.xlsx (Initial_Berth_Information.xlsx): Records the initial status, available time, resource capacity, and other information of each berth. 分段信息表.xlsx (Block_Information_Table.xlsx): Contains detailed information of all blocks to be scheduled, such as block ID, process requirements, processing time, resource demand, priority, etc. 胎位信息.xlsx (Berth_Information.xlsx): Defines the physical attributes, maximum load, processable block types, and other constraints for each berth. 2.3 Figure Source Data (Figure6&7_raw_data) DDQN_results.xlsx: Scheduling results of the Deep Q-Network (DDQN) algorithm under different instances, including convergence speed, energy consumption, completion time, and other metrics.

EDDQN_results.xlsx: Corresponding results of the improved Deep Q-Network (EDDQN) algorithm, used for comparison with DDQN. 2.4 Run Results (运行结果 / Run_Results) Contains scheduling result files for multiple algorithms, with file names clearly identifying the algorithm type and problem scale: DDQN_scheduling_results872 个分段_s...: Scheduling results based on the DDQN algorithm. EDDQN_scheduling_results872 个分段_s...: Scheduling results based on the EDDQN algorithm. scheduling_results_heuristic_earliest_...: Scheduling results based on the "EST" heuristic rule. scheduling_results_heuristic_longest_...: Scheduling results based on the "LPT" heuristic rule. scheduling_results_heuristic_resource_...: Scheduling results based on the "RUB" heuristic rule. scheduling_results_heuristic_shortest...: Scheduling results based on the "SPT" heuristic rule.