We outline a modelling approach aimed to capture sophisticated interdependencies of discrete and continuous behaviors in hybrid systems. The approach is essentially a hybrid extension of widely recognized object-oriented languages UML and UML-RT. It is fully supported by a new simulation tool AnyLogic 4.0 from Experimental Object Technologies.
A Hybrid Statechart
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.
Explore an advanced approach to vehicle routing optimization that combines simulation modeling with real-world road networks. This method addresses the Multi-Depot Vehicle Routing Problem (MDVRP) using AnyLogic.
This paper presents a framework that combines simulation with mathematical optimization to plan the supply of raw materials for producing specialty chemicals. A real-world use case was introduced to validate the developed framework, demonstrating the application of simulation in chemical industry logistics.
Efficient material replenishment in assembly plants can be optimized using autonomous mobile robots. This research analyzes the Tiger Motors assembly line at Auburn University, where a Stretch RE1 robot is integrated into the production process. A multimethod simulation model combining discrete-event and agent-based simulation modeling in AnyLogic evaluates different replenishment strategies. It identifies the most effective approach based on payload capacity, travel optimization, and real-time...
This paper presents a tool for logistics optimization of Less-Than-Truckload terminals addressing rising service demands and shipment volumes. The tool enables efficient layout planning and resource allocation for small and medium-sized enterprises through automatic model generation and customizable simulation models.
This study explores the role of healthcare resilience in emergency departments. An AnyLogic simulation model is used to assess cross-training strategies. The study identifies the most effective workforce flexibility policies to reduce patient waiting times and optimize resource allocation by simulating real-world emergency department operations. The findings highlight how cross-training nurses between triage, adult, and pediatric zones enhances healthcare resilience, ensuring efficient...
This study explores the use of healthcare simulation in measuring and improving the resilience of emergency departments (EDs) during demand surges. The model uses AnyLogic discrete-event simulation to replicate patient flow, resource allocation, and response strategies to identify effective interventions. The research provides valuable insights for ED managers seeking to enhance operational efficiency and patient care under pressure.