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

The Future of Digital Manufacturing Starts with Model-Based Definition (MBD): Enrico Boesso of EnginSoft Face to Face with Daniel Campbell of Capvidia

In a recent interview, Enrico Boesso (EnginSoft) and Daniel Campbell (Capvidia) discussed how Model-Based Definition (MBD) is transforming manufacturing by replacing traditional 2D drawings with data-rich 3D models as the "single source of truth".

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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

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

CASE STUDY

The design optimization of a small axial turbine with millions of configurations

The case for computerized optimization over manual design interventions

In this article, we show that the main turbine characteristics, such as efficiency and exit flow angle, can be sufficiently improved using parametric optimization.

modefrontier energy optimization

CASE STUDY

The new industrial role of spatial computing

An overview of the integration of immersive reality and artificial intelligence in industrial processes

This paper explores the transformative potential of Extended Reality (XR)—encompassing Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR)—when integrated with Artificial Intelligence (AI) in industrial and engineering applications. XR technologies enable businesses to visualize, interact, and optimize product designs, training processes, and customer support functions.

digital-manufacturing optimization artificial-intelligence