Observed-based decision-making strategy of supply chain management under business disruptions  

作　　者：Xiao Xu Truong Ngoc Cuong Hwan-Seong Kim Sam-Sang You 

机构地区：[1]Antai College of Economics and Management,Shanghai Jiao Tong University,Shanghai,People’s Republic of China [2]Division of Logistics,Korea Maritime and Ocean University,Busan,Republic of Korea [3]Division of Mechanical Engineering,Korea Maritime and Ocean University,Busan,Republic of Korea

出　　处：《Journal of Control and Decision》2023年第4期504-513,共10页控制与决策学报（英文）

摘　　要：This paper presents observer-based chaos suppression for a four-echelon supply chain system based on fractional order calculus.As the market information is usually distorted,nonlinear observers for supply chain model are implemented to accomplish chaos suppression using linear matrix inequality(L MI).Sufficient conditions for the observer-based schemes are estab-lished by using Lyapunov stbility theory.The fractional calculus is utilised to provide superior dynamic performance for the controlled supply chain system over its integer-order counterpart.Numerical simulations are performed to validate robust performance and stability of observer-based supply chain management.Finally,it is found that the presented approach can help decision-makers develop effective supply chain networks under disruptions.

关 键 词：Supply chain system decision making fractional order calculus state observer chaos suppression linear matrix inequality 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]