An Optimization Approach for Blood Supply Chain Management Integrating Drone Delivery Method

This paper investigates the application of drone delivery for blood supply chainmanagement (BSCM). This paper aims to minimize the delivery lead time andmake the fastest delivery of lifesaving blood products within a specified deliveryrange. We proposed an optimization model that utilizes Mixed Integer Non-LinearProgramming (MINLP) with Dijkstra’s algorithm. This model considers thedrone capabilities such as payload capacity, travel speed, and range. This studyinvestigates the possibilities of drone delivery in blood supply chain management,with a priority on reducing delivery lead time and enabling rapid deliveries. Whileincorporating real-world scenarios with multiple locations like hospitals, clinics,and demand location. Randomly generated test instances are used. In order toevaluate the model’s effectiveness, Numerical illustration has been analysed usingPython programming as the development platform for implementing the solution.