Artificial Intelligent Techniques for Wireless Communication and Networking

14Artificial Intelligence in Logistics and Supply Chain

Jeyaraju Jayaprakash

Department of Mechanical Engineering, Advanced Research Institute (ARI), Dr. MGR Educational and Research Institute, Chennai, India

Abstract

Supply chain is an integrating process of material flow, from suppliers to end users. It consists of selection of suppliers, scheduling & quantities of goods from suppliers, selection of routes, vehicle capacity, mode of transports, loading goods based on delivery schedule, scheduling goods in multi-depot loading & unloading goods, planning & forecasting of fluctuating demand, multi-Echelon logistics, distributed network manufacturing, fluctuation of raw materials and parts Inventories in store. This chapter focused on various research avenues in supply chain network, particularly vendor selection, transportation, inventory routing, agent-based modeling, reverse logistics. Recent days researchers have triggered very high interest with Artificial Intelligence (AI) tools in the supply chain network problems.

Real-world problems like controlling 5G IIoT data distribution network, regulating logistics and supply chain network distribution are complex in nature (like NP hard) and input data are uncertain, high volume & more ambiguity. For such condition, AI is the only choice to resolve all these issues in a reasonable time with higher optimal values. Some of the AI tools like, Neural Network, Fuzzy Logic, Genetic Algorithm, Scatter Search Algorithm, ANT Colony Algorithm, ...