Blood Supply Logistics Optimization Delhi Data
Description
This dataset contains the logistics data used for optimizing blood supply chains in a network of hospitals located in Delhi. The data focuses on drone routing for blood bag deliveries, aimed at improving healthcare logistics efficiency. The dataset consists of 10 Excel files, each containing data from 20 hospitals to 100 hospitals. Additionally, there is a main dataset that includes logistics data for 25 hospitals. Each Excel file includes the following key variables: Hospital ID: A unique identifier for each hospital in the network. Geographical Coordinates (Latitude, Longitude): The specific locations of each hospital. Demand for Blood Bags: The quantity of blood bags requested by each hospital. The purpose of this dataset is to support the development and testing of optimization algorithms (e.g., Nearest Neighbor, Genetic Algorithm, Simulated Annealing, and HybridNGS) for the Drone Routing Problem (DRP). These algorithms are designed to minimize the total travel distance, operational costs, and number of drones used, while ensuring timely delivery of blood bags to hospitals. This dataset is essential for researchers and practitioners in the fields of healthcare logistics, supply chain management, and optimization, providing real-world data for testing routing algorithms under various logistical constraints.