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.
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.
This article explores the integration of Vertical Lift Modules with shuttle-based storage and retrieval systems to enhance automated warehouse storage systems and improve order-picking efficiency. Using AnyLogic simulation, the research evaluates system performance through discrete-event and agent-based simulation modeling.
This article explores the use of AnyLogic to optimize hydrogen refueling infrastructure for heavy-duty trucks in Bremen, Germany. It showcases possible advancements in renewable energy in transportation and hydrogen infrastructure optimization.
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 paper discusses how process mining can be used to gain insights and automatically regulate processes in real time. It highlights the need for thorough testing to avoid side effects and proposes using discrete-event simulation in production and logistics to mitigate risks.
Creating discrete-event simulation models for adaptable material flow systems is challenging due to the need for various structural variants. This paper unveils an innovative method to automate this process, illustrated by a case study, which makes it easier and more efficient.