Based on two intuitions – (i) event-driven systems and multi-agent systems are two computational paradigms that are amenable of a coherent interpretation within a unique conceptual framework; (ii) integrating the two simulation approaches can lead to a more expressive and powerful simulation framework – we propose a computational model integrating Discrete-Event Simulation (DES) and Multi-Agent...

This project seeks funding to support the research on expanding the knowledge of the software development process within the corporate environment in conjunction with QLabs. Software development today has a well defined workflow that can be optimized and explored through discrete event simulation in order to maximize resources and total profit of the process as a whole. The software development...

in this paper, a discrete event simulation model of iranian railway system is used for analyzing performance of the system in freight sector. the model analysis shows more sensitivity of the system on loading and unloading facilities than on number of wagons and locomotives. system optimization through simulation optimization technique, shows that more than 4% of all wagons available in the net...

the purpose of this study is to examine different scenarios for implementing operations in the pre-construction phase of a project, based on several competing criteria with different importance levels in order to achieve a more efficient execution plan. this paper presents a new framework that integrates discrete event simulation (des) and data envelopment analysis (dea) to rank different scena...

In the last decade, maritime piracy has affected the global economy that forced the countries to react. Most of the reaction is regarding force deployment in the affected regions. In this study, we present a simulation based analysis tool that aims at understanding the relationship between naval forces deployment and preventing piracy. We consider three stakeholders’ views; pirates, maritime tr...

Network simulation models are becoming common for modeling the spread of infections. However, speed is often an issue for large populations. Choosing a discrete time simulation (DTS) over a discrete event simulation (DES) helps to remedy this problem at the cost some accuracy. We analyze and quantify the loss in accuracy for the common SI and SIS processes. Specifically we prove the DTS method ...

This paper modifies the foundations of combined Discrete Event Simulation (DES) and Continuous Systems Simulation (CSS) by extending the CSS part to the stochastic domain through including discrete (although aggregated) entities. The traditional combined DES/CSS simulation, where the modeller selects between a DES and a CSS description for components of the system under study, lacks a solid the...