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

Structural optimization of a bridge beam section subjected to instability of equilibrium

CAE and numeric simulation guides engineers to an optimal design for structural safety at the lowest cost

This technical article describes how engineers tackled a design optimization challenge to ensure the structural integrity of a section of the beam of a typical steel bridge whose web of main beams was subject to instability.

civil-engineering 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

The brave new world of virtual commissioning

Current market demands require new approaches to assure business imperatives are achieved

The following article explains how this new approach to the design of automated machines can enable industrial automation OEMs and system integrators to achieve these business imperatives with the assistance of industrialPhysics simulation software.

mechanics iphysics industry4

CASE STUDY

Simulating tomorrow's future today: Forty years of EnginSoft and counting

The text provides an in-depth account of Stefano Odorizzi’s journey in founding and growing EnginSoft, our engineering company specializing in computer simulation and modelling. Established in 1984, EnginSoft overcame early challenges, such as the high cost of computing, to emerge as a leader in simulation services, particularly in the fields of mechanical engineering and computational fluid dynamics (CFD). The narrative highlights several key milestones in the company’s history.

cfd metal-process-simulation industry4 news mechanics optimization

CASE STUDY

Optimization techniques applied to centrifugal compressor design

Using RSM to save design time and speed time-to-market

Optimization tools, and specifically response surface methods (RSM), can be adapted very well in the design process to provide information around the design of a compressor stage. This article will cover two of the possible optimization uses: the search of optimum performance and data generation.

modefrontier optimization mechanics