Secured Optimal Path to Identify the Networking Model using Cold Chain Logistics in Hospital Environment

Abstract

Abstract Logistics refers to moving commodities from one location to another, typically from a manufacturing facility to a client. A logistics network is a collection of activities that include product creation, production, and distribution. Chain of custody Logistics are items that must be carried chilled from the manufacturing facility to the customer. Because of work with logistics networks, a secure networking model is required. This post will look at an intelligent secured networking model for determining the best route for cold chain logistics to a hospital setting. The best and shortest path between points A and B is found using the optimal pathfinder. It also takes traffic and transportation costs into account. Medicines and vaccines that must store at a specific temperature are part of the cold chain logistics for the hospital environment. As a result, path optimization is more important in cold chain logistics than in other types of logistics in the hospital environment. The Bee-Ant Optimization Algorithm (BAOA) is proposed in this study to perform intelligent transportation to a healthcare setting. The suggested approach is compared to the Ant Colony Optimization (ACO), Bee Colony Optimization (BCO), and Neural Network Model algorithms already in use. According to the data, the proposed algorithm has a 98.83% accuracy rate for delivering logistics to the hospital environment.