The dataset captures approximately one month of pharmaceutical delivery operations from a 3PL provider. It represents a Capacitated Vehicle Routing Problem with Time Windows (CVRPTW), incorporating real-world constraints like vehicle capacity, delivery time windows, and operational limits. With nine daily instances covering two delivery days per week, it reflects four to five weeks of routing challenges, providing a benchmark for optimizing last-mile pharmaceutical logistics. The dataset is divided into two main folders: 1. Time and Distance Matrices: This folder contains travel distances and estimated travel times between delivery nodes for each of the nine days. To maintain confidentiality, exact node locations are not provided. Distance Matrices: Provide the pairwise distances (in kilometers) between delivery locations Time Matrices: Represent travel durations (in minutes) under three different traffic conditions: Optimistic: Best-case scenario with minimal traffic Most Likely: Expected travel time Pessimistic: Worst-case scenario with heavy traffic delays Each dataset version (1-9) has four corresponding Excel files: distance_matrix_X.xlsx time_matrix_mostlikely_X.xlsx time_matrix_optimistic_X.xlsx time_matrix_pessimistic_X.xlsx where X represents the dataset number (1-9). 2. Order Characteristics: This folder contains detailed information about daily delivery requests. It includes an Excel file (orders.xlsx) with nine sheets, each corresponding to a specific day's delivery requests. Each order is defined by the following attributes: NODE_ID: Unique identifier for each delivery request WEIGHT: Weight of the shipment (kg) VOLUME: Volume of the shipment (cubic meters) SERVICE_TIME: Time required to complete the delivery (minutes) EAT: Earliest Arrival Time allowed for delivery LAT: Latest Arrival Time allowed for delivery TIME_WINDOW: Allowed delivery time window, defined by the EAT and LAT