Arena Simulation

Arena Simulation

Model and Analyze Every Aspect of Your Manufacturing Processes

Arena Simulation

Arena Simulation is a product of Rockwell Automation

Arena is a discrete event simulation and automation software: it enables manufacturing organizations to increase throughput, identify process bottlenecks, improve logistics and evaluate potential process changes.

Key Features

  • Modeling: Users can create simulation models by placing modules (representing different processes or logic) and connecting them with lines to define the flow of entities. Each module is designed to represent a specific element of the process.
  • Entity Representation: Each module performs specific actions related to entities, flow, and timing. The accuracy of the representation of modules and entities relative to real-world objects is determined by the modeler.
  • Statistical Data Collection: Arena enables the collection of key performance data, such as cycle times and work-in-process (WIP) levels, which can then be outputted as detailed reports for analysis.
  • Integration: Arena seamlessly integrates with Microsoft tools and other software applications, enabling users to enhance their simulations with additional data sources and applications.

Applications

  • Business Process Improvement: Arena simulation software helps businesses evaluate different alternatives and identify the most effective approach to optimizing performance, reducing risks, and understanding system dynamics based on critical metrics.
  • Manufacturing and Industrial Processes: Arena is widely used to model and simulate complex manufacturing and industrial processes. It allows users to predict outcomes, identify bottlenecks, and optimize system performance, ensuring smoother operations.
  • Education: Arena is also a key educational tool, teaching students the principles of discrete event simulation and process modeling in academic institutions.
Arena Simulation Arena Simulation

Main benefits

Request a free demo

  Find the Best Approach

Evaluate potential alternatives to determine the best approach to optimizing performance.

  Improve System Performance

Understand system performance based on key metrics such as costs, throughput, cycle times, equipment utilization and resource availability.

  Reduce Risk and Uncertainty

Reduce risk through rigorous simulation and testing of process changes before committing significant capital or resource expenditures.
Determine the impact of uncertainty and variability on system performance.

  Show your results

Visualize results with 2D and 3D animation

Ask the Expert

Ask the expert

Send your technical questions to our experts!
Connect you with an EnginSoft expert who can provide a reliable answer to your technical question or recommend a proven solution.

Ask the expert Request a free demo

Insights

CASE STUDY

Ultra-Wide Band Radome CAE Optimization

Overcoming mechanical and electromagnetic challenges in refining a radome for electronic warfare

Elettronica SpA designs and produces systems for electronic warfare. Each system design is unique according to its platform and purpose. In this article, the company describes how it used CAE to approach the challenging design of a single sandwich radome.

ansys optimization electronics

NEWSROOM

Stay connected with us: news, analysis and trends from our experts.

Newsroom  

MEDIA CENTER

Scroll through our Media Center to view all the videos, video-tutorials and recorded webinars.

Media Center  

CASE STUDY

Flexible factory design and reconfiguration using digital simulation models

The text discusses the importance of digital simulation models in modern factory design and reconfiguration, particularly in response to shorter product lifecycles and increased customization demands. Traditional design methods often lead to inefficiencies and high costs, making digital simulation essential for creating flexible and adaptable production systems. The article highlights a case study involving a furniture assembly factory, where a manufacturer needed to efficiently handle a variety of custom kitchen cabinet orders. The system integrator was tasked with designing a robotic assembly line that could maintain production efficiency despite the high variety of products.

industry4 SIMUL8

Find out more

CASE STUDY

Using multidisciplinary optimization for engine suspension stiffness

Optimizing idling and ride comfort

In this technical article, Fiat Chrysler Automobiles explain how they created a multibody optimization project to identify the optimal values for the powertrain suspension stiffness for a three-cylinder engine in order to minimize the vibrations at idle condition and ensuring greater ride comfort to the passengers.

automotive optimization modefrontier

CASE STUDY

Introducing Skippy: an athletic monopedal robot, designed for a repertoire of behaviors

Demonstrating the effectiveness of a systematic, complete design approach to achieve extreme, unprecedented behaviors

This article discusses a realistic multi-objective parameter optimization study of a highly athletic one-legged robot, called Skippy, in which both the parameters of the mechanism and the parameters of its optimal behaviors were sought.

optimization modefrontier biomechanics

CASE STUDY

Fluid Dynamics Optimization of Racing Engine Inlet Ducts at Aprilia Racing

Optimising racing engine inlet ducts using fluid dynamics

Racing engines are continuously evolved and fine-tuned to allow them to achieve extraordinary levels of performance, albeit with great complexity. However, MotoGP regulations restrict engine development by constraining some of the main design parameters.

optimization modefrontier cfd ansys rail-transport