Intelligent Networking Model to Identify Optimal Path in Supply Chain Management for Cold Chain Logistics to Hospital Industry

Abstract

AbstractIn supply chain management, Logistics is the transfer of goods from one place to another, mostly from the production house to the customers. Logistics network is a set of operations that involve designing, production, and marketing of the goods. Cold chain Logistics are those which needed to be transported in a cold refrigeration right from the production house to the customer. A secured networking model is essential to handle the logistics networks. In this research, we are proposed an intelligent secured networking model to identify the optimal path for cold chain logistics to hospitals. The optimal path finder is used to find the path between point A to point B, which is short and best. It also considers the road traffic and cost of transport. The cold chain logistics to the hospitals, includes medicines and vaccines which are to be stored in a particular temperature. Thus, path optimization is more essential in cold chain logistics to hospitals than other type of logistics. In this research, Bee-Ant Optimization Algorithm (BAOA) is proposed to perform the intelligent transportation to the hospitals. The proposed algorithm is compared with the existing Ant Colony Optimization (ACO), Bee Colony Optimization (BCO), and Neural Network Model. From the results, it can be observed that the proposed algorithm shows 98.83% for accurate delivery of logistics to the hospitals.KeywordsSupply chain managementCold chain logisticsSecured networking modelOptimal pathBee-ant optimization algorithm (BAOA)Artificial intelligence (AI)