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.
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Main benefits

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  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

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Insights

CASE STUDY

Advanced strategies for the flow field optimization of a medical device

How to use a hybrid method of CFD analysis for product optimization and performance improvement while reducing the computational effort and the time required to achieve the results

Further reduction of the heat loss compared to the best design of the NSGA-II first phase design optimization: a further 4% gained

cfd biomechanics ansys modefrontier optimization

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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

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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

Optimizing a cam mechanism using Adam and MATLAB

The design of a cam for high-speed production machines with various operating criteria imposes various conflicting objectives

This technical case study explains the application of a two-step methodology using the MATLAB and Adam algorithms in the modeFRONTIER software platform.

optimization modefrontier automotive

CASE STUDY

Optimizing the cable routing for a hyper-redundant inspection robot for harsh, hazardous environments

A multi-objective optimization framework to reduce the actuation loads and increase the payload

This article discusses a multi-objective optimization study to determine the optimal matrix for the routing of the actuating cable system in order to minimize the cable load on the robot and maximize the robot’s payload.

optimization modefrontier mechanics electronics