Modern production and logistics systems, supply chains, and Industry 4.0 networks are
challenged by increased uncertainty and risks, multiple feedback cycles, and dynamics …

In this study, we present a novel fuzzy control strategy that considers the influence of lead
times on nonlinear supply chain management (SCM) systems. The authors have constructed …

Post COVID-19 vaccine development, nations are now getting ready to face another
challenge: how to effectively distribute vaccines amongst the masses to quickly achieve herd …

We consider time-critical supply chains (SCs) in the Australia dairy industry and recovery
policies in the presence of the ripple effect. Ripple effect is the impact of a disruption on SC …

We reviewed 153 peer‐reviewed sources to provide identification of modern supply chain
management techniques and exploration of supply chain modeling, to offer decision support …

This paper describes the application of reinforcement learning (RL) to multi-product
inventory management in supply chains. The problem description and solution are both …

This article presents a rigorous prospective analysis of the impact of Inventory Record
Inaccuracy (IRI) on complex multi-echelon Supply Chains (SCs). Specifically, key …

Effective supply chain management is a crucial competency for modern enterprises, but the
issue has not been systemically addressed. To this end, we develop a distributed model …

A new fuzzy robust control strategy for the nonlinear supply chain system in the presence of
lead times is proposed. Based on Takagi‐Sugeno fuzzy control system, the fuzzy control …

Given the input/output constraints and cross couplings of supply chain (SC) nodes, model
predictive control (MPC) is efficient to seek the optimal solutions to the problems posed by …