2021Procedia Computer ScienceOpen access

Open-source discrete-event simulation software for applications in production and logistics: An alternative to commercial tools?

Sebastian Lang, Tobias Reggelin, Marcel Müller, Abdulrahman Nahhas

Open full text 35 citations

Abstract

Discrete-event simulation is an established method to support decision making for planning tasks in production and logistics. However, there are still many enterprises, especially smaller companies that do not use discrete-event simulation because of the high costs associated with buying and maintaining commercial simulation tools. The question is whether or not free discrete-event simulation software is an alternative to commercial tools for solving typical planning tasks in production and logistics. The paper analyzes the modeling process with the three free and open-source discrete-event simulation tools Salabim, JaamSim and CloudSim and compares them with the two standard commercial simulation packages Arena and Plant Simulation. JaamSim provides everything which is necessary to model typical planning tasks in production and logistics and proves as a real alternative to commercial discrete-event simulation tools.

About this research paper

What this paper is about

Discrete-event simulation is an established method to support decision making for planning tasks in production and logistics. However, there are still many enterprises, especially smaller companies that do not use discrete-event simulation because of the high costs associated with buying and maintaining commercial simulation tools. The question is whether or not free discrete-event simulation software is an alternative to commercial tools for solving typical planning tasks in production and logistics. The paper analyzes the modeling process with the three free and open-source discrete-event simulation tools Salabim, JaamSim and CloudSim and compares them with the two standard commercial simulation packages Arena and Plant Simulation. JaamSim provides everything which is necessary to model typical planning tasks in production and logistics and proves as a real alternative to commercial discrete-event simulation tools.

Why it matters

OpenAlex reports 35 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Discrete-event simulation is an established method to support decision making for planning tasks in production and logistics. However, there are still many enterprises, especially smaller companies that do not use discrete-event simulation because of the high costs associated with buying and maintaining commercial simulation tools. The question is whether or not free discrete-event simulation software is an alternative to commercial tools for solving typical planning tasks in production and logistics. The paper analyzes the modeling process with the three free and open-source discrete-event simulation tools Salabim, JaamSim and CloudSim and compares them with the two standard commercial simulation packages Arena and Plant Simulation. JaamSim provides everything which is necessary to model typical planning tasks in production and logistics and proves as a real alternative to commercial discrete-event simulation tools.

Key concepts: Discrete event simulation, Computer science, Simulation software, Event (particle physics), Production (economics), Simulation modeling, Software, Production planning

Related papers

Back to paper searchBrowse research topicsOriginal source
Open-source discrete-event simulation software for applications in production and logistics: An alternative to commercial tools? — Research Paper | ScholarLens