Dynamic analysis and management optimization for maritime supply chains using nonlinear control theory
Truong Ngoc Cuong, Xiao Xu, Sang Do Lee, Sam–Sang You
Abstract
As world trade becomes ever more globalised and interconnected, the international maritime supply chains are experiencing challenges as well as enjoying greater business opportunities. Chaotic systems are always described by deterministic laws, however they produce completely erratic and divergent behaviors. The study of system dynamics and management strategy has been promoted to improve the efficiency and effectiveness of chaotic maritime supply chains. This paper deals with a nonlinear control theory for how to intensely explore complex dynamical behaviours in multi-echelon supply chain networks. Also, novel sliding mode controllers are designed to regulate the supply chain management to achieve the control and synchronization of chaotic behaviour of the system dynamics. Extensive numerical simulations have been conducted to validate the efficacy and reliability of the presented control algorithms for maritime supply chains under parametric perturbations and external disturbances.