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

Calibration of the Johnson-Cook plasticity for high strain rate regime applications

Material models used in structural finite element analysis (FEA) are often one of the key aspects that engineers need to describe very accurately.

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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.

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CASE STUDY

The roller coaster

A design challenge combining excitement and rigour

A fascinating article on the origin, history, and evolution of roller coasters from their earliest prototypes in Russia in the 16th century on the banks of the Neva River of St. Petersburg, and then dives into detail on how numerical simulation of roller coasters works to ensure their success both as entertainment and from a safety perspective for users and operators.

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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.

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CASE STUDY

ECM Technologies reduces installation and commissioning time by 50% using digital twin technology

Virtual commissioning and parallel work streamline automotive heat treatment plant timeline with Emulate3D software in industrial processes virtual environment: reproduction of real road and off-road conditions

ECM Technologies has significantly streamlined the design, installation, and commissioning of its large-scale heat treatment systems for the automotive industry by using digital twin technology and Rockwell Automation’s Emulate3D software. Faced with tight timelines and software compatibility challenges during a major project in Mexico, ECM used virtual models to simulate and test their systems in parallel with production. This approach reduced commissioning time by 50%.

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