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 demand response.
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 emergency care during patient demand surges.
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.
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.
Efficient production scheduling is crucial for maximizing resource utilization in eco-industrial parks, where factories share energy and materials. However, balancing energy distribution and job scheduling is challenging due to fluctuating power availability, production constraints, and inter-factory dependencies. This study uses a constraint programming model in AnyLogic combining agent-based and discrete-event simulation modeling to optimize production in an industrial park.
The authors used AnyLogic multimethod simulation modeling and reinforcement learning to optimize resilient infrastructure restoration. This approach was applied to water distribution and mobility networks in Tampa, Florida, USA, enhancing decision-making, allowing for adaptive and efficient responses to disruptions, and improving resource allocation and operational resilience.
As the semiconductor market booms, set to hit 1 trillion USD by 2030, the pursuit of sustainable semiconductor manufacturing is critical. This article examines Infineon Technologies' efforts to reduce energy consumption in semiconductor manufacturing and describes how improvements can enhance sustainability in this industry. Infineon uses simulation models to pinpoint energy-saving opportunities, making a strong case for eco-friendly advancements in the tech industry.