ABSTRACT: The reliance on exponential assumptions in classical queueing models often leads to a misrepresentation of real-world systems where service and interarrival times exhibit more complex ...

This study presents a time-series forecasting framework that integrates queuing-based operation indicators to improve vessel turnaround time prediction accuracy by up to 28%. Rather than directly ...

The latest ambition of artificial intelligence research — particularly within the labs seeking “artificial general intelligence,” or AGI — is something called a world model: a representation of the ...

Abstract: Performance analysis of network queuing model is very important due to delay and latency that may be caused by using inappropriate model. It also impacts the utilization and throughput of ...

For more than five decades, Richard Larson, PhD, has shaped the field of operations research with a deep commitment to solving real-world problems. Since 1969, he has worked as a professor at the ...

Recent development of peer-to-peer (P2P) services (e.g. streaming, file sharing, and storage) systems introduces a new type of queue systems not studied before. In these new systems, both job and ...

This repository is an example accompanying the DES RAP Book — an open educational resource on reproducible discrete-event simulation (DES) in Python and R. The book demonstrates best practices for ...

We introduce an efficient latent representation learning approach tailored specifically for high-dimensional, large-scale spatial count data, incorporating additional covariates for enhanced ...