In logistics systems, several new advanced technologies are being introduced; such as autonomous vehicles and truck platooning. We evaluate the impact of these new technologies on several logistics network indicators such as cargo flow, fare of transport mode, profit of each stakeholder, and social surplus. Since logistics systems involve several stakeholders and interact with each other, interdependency between the stakeholders are also considered. Using this simulation model, socially desired logistics systems with the highest social surplus are proposed.
In supply chain management (SCM), multiple countries and companies are involved in their production system. Our research target is global optimization of SCM, risk management, location choice model for automated warehouse and factories. We explore robust supply chain networks with economic rationality by using graph theory with machine learning. Also, desired trade structure for middle- and low-income countries are explored for further economic growth based on the idea of Global Value Chain (GVC).