Explore how a training facility at Auburn University is teaching students and professionals lean manufacturing by assembling LEGO® cars. Through a multi-phase plan, the facility is evolving into a hub for digital manufacturing and Industry 4.0 technologies, with a focus on small and medium manufacturers (SMMs). The current phase involves creating an agent-based digital twin model to simulate and optimize assembly line processes.
This paper explores the automation of healthcare process modeling using process mining and simulation for Chronic Obstructive Pulmonary Disease (COPD) clinical pathways. By integrating AnyLogic’s agent-based simulation with real-world hospitalization data, the study is able to validate process-mined models. This approach optimizes patient flow analysis and supports data-driven decision-making in healthcare process automation.
This paper illustrates an emergency response simulation for out-of-hospital cardiac arrest (OHCA) incidents using agent-based modeling and GIS integration. The authors applied AnyLogic simulation software to evaluate dispatch strategies and responder deployment, with the goal of improving survival rates and enhancing urban emergency response efficiency.
A PortalLite system is a maritime logistics concept aimed at improving accessibility to remote areas, reducing environmental impact, and easing urban congestion through a network of small, distributed ports. In this study, the authors use both simulation and mathematical modeling to explore the feasibility and efficiency of this unique system.
Predictive modeling in healthcare is crucial in assessing interventions for continuous care, especially for cardiovascular disease (CVD) patients affected by natural disasters. This study uses agent-based modeling in predictive simulation software to forecast health outcomes and plan effective public health interventions. By simulating hurricane events and patient responses, the research highlights the impact of medication adherence and disaster preparedness on reducing CVD mortality.
The paper explores the use of archaeology simulation, focusing on the Abade Artificial Archaeological Site Project. It highlights how technologies like laser scanning, 3D modeling, and agent-based simulations can be employed to reconstruct ancient settlements and provide new insights into historical research.
The behavior of passengers in urban railway stations (i.e., metro stations) is dependent on environmental, cultural, and temporal factors. In this research, escalator infrastructures were studied to better understand the relationship between different conditions and passenger behaviors through a method based on video cameras, passenger detection techniques, and a simulation framework.
Cross-docking is a warehousing method that allows goods to move quickly from inbound suppliers directly to outbound customers, minimizing storage time. This study focuses on developing a real-time multi-agent truck scheduling model to optimize the process of cross-docking in warehouses, aiming for quick and efficient synchronization of incoming and outgoing freight.
Through simulation modeling, this research highlighted the interactions of key system parameters in a disruption phase under different scenarios. A multi-period, multi-echelon serial supply chain was studied with agent-based and discrete-event simulation.