The presentation shows you how to develop simulation models, choose abstraction level and methodology.
The presentation shows you how to develop simulation models, choose abstraction level and methodology.
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.
This article presents a discussion of manufacturing process optimization in the ready-made garment industry through making the management of production lines more effective using AnyLogic software. It shows how simulation of various scenarios can pinpoint effective strategies for maintaining efficiency despite changes in market demand.