Analysis of a Distributed Election Algorithm Using COVERS 3.0 - A Case Study
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.
The study explores the critical need to address vulnerabilities within the semiconductor supply chain, given its global network and production timelines. It showcases the application of system dynamics simulation through AnyLogic software. The researchers assess the impacts of external disruptions and observe the change in customer orders, revenue, and distribution center stock in different operational strategies for managing supply chain disruptions.
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.
The research paper on e-commerce addresses urban logistics issues worsened by the COVID-19 pandemic. The scholars used system dynamics simulation modeling with the ε-constraint method to design a parcel locker delivery network and forecast demand. The model suggested the lockers’ locations for improved delivery results and helped to develop a strategy for minimizing environmental impact.