論文

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.

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.

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.

The semiconductor manufacturing process is complex and requires smart planning to achieve production efficiency. This semiconductor research paper examines how prioritizing certain batches affects the time it takes to process others. Using a simulation model, the researchers tested different scenarios to see what worked best. The results obtained will help improve the management of production lines.

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.

The semiconductor industry is facing pressure to reduce its extensive energy consumption, which requires transparency on the relationship between energy efficiency and original planning objectives. This paper aims to develop an extension to the existing Operating Curve concept by investigating the effect of utilization on energy efficiency. It uses the results of discrete-event simulation on a fab level to verify the novel concept.

As widely reported in the literature, the leather luxury accessories industry is characterized by a highly fragmented supply chain. Frequent changes in the production mix had to be managed, often requiring the re-optimization or even re-design of production flows. The objective of this paper was to propose a data-driven simulation model for production balancing and optimization in this sector.