Joint Optimization of Workload Balance and Vehicle Routing Considering Three-dimensional Loading Constraints

<b>Abstract</b><br>This dataset provides comprehensive data support for the study of the Vehicle Routing Problem with Three-Dimensional Loading Constraints (3L-CVRP). The data includes baseline datasets starting with the letter "E" from the CVRPLIB library, as well as real-world case data (case_data). The case data contains information such as station codes, station coordinates, commodity codes, and station cargo demand (unit: kg). Additionally, the dataset includes six experimental data files (experimental_data_1-6) with the same structure as the case data. The commodity information table (commodity_information) provides detailed specifications for commodities, including commodity codes, dimensions (length, width, height in millimeters), and volume (in cubic centimeters). This dataset is suitable for research in three-dimensional loading optimization, vehicle routing planning, and related fields.<br><b>Data Description</b>1. <b>CVRPLIB Datasets</b> Source: Datasets starting with "E" from the CVRPLIB library, used as benchmark data.2. <b>Case Data (case_data)</b> station_code: Unique identifier for each station. X_coordinate &amp; Y_coordinate: Geographical coordinates of the station. commodity_code: Unique identifier for each commodity. demand (kg): Cargo demand at the station, measured in kilograms (kg).3. <b>Experimental Data (experimental_data_1-6)</b> Structurally identical to the case data (case_data), designed for validation and analysis across different experimental scenarios.4. <b>Commodity Information Table (commodity_information)</b> commodity_code: Matches commodity codes in case data and experimental data. length (mm), width (mm), height (mm): Dimensions of goods in millimeters (mm). volume (cm³): Cubic volume of goods in cubic centimeters (cm³).5. <b>Unit Specifications</b> Dimensions (length, width, height): Millimeters (mm) Demand: Kilograms (kg) Volume: Cubic centimeters (cm³)