Mining a discrete event simulation model from data has always been a big challenge, which is related to the problem of system inference in systems theory. D2FD (Data to Fuzzy-DEVS model) method can be ...

Discrete-event simulation (DES) provides a safe and efficient way to model processes and determine the impact of process changes. Operations research techniques, such as simulation, have become a ...

Process simulation modeling has been successfully applied to software development processes to support management decisions on issues related to process management and process improvement. In this ...

Our subquantum model based on discrete-event simulation can reproduce the experimental data of quantum walk experiments as well as many other optics and neutron-interferometry experiments [20 – 22, 31 ...

For large international companies with their own simulation team, it is often hard to make a decision related to selection of new discrete-event simulation software. This paper presents a ...

We examined the relationships among ALOS, cost and clinical outcomes using a neonatal intensive care unit (NICU) simulation model. A discrete-event NICU simulation model based on the Duke NICU was ...

This paper presents a model structure aimed at offering an overview of the various elements of a strategy and exploring their multidimensional effects through time in an efficient way. It treats a ...

Acute Stroke Unit Discrete Event Simulation (DES) - Replication of Monks et al. (2016) This repository contains a simplified Python-based recreation of the Discrete Event Simulation (DES) model ...

About Developed a discrete-event simulation to model solar energy generation and battery storage behavior over a 24-hour period using SimPy.