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.
Evaluate potential alternatives to determine the best approach to optimizing performance.
Understand system performance based on key metrics such as costs, throughput, cycle times, equipment utilization and resource availability.
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.
Visualize results with 2D and 3D animation
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CASE STUDY
In this technical case study, EnginSoft assists Casappa to further refine an already-optimized standard series pump for an electrical motor and generator
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CASE STUDY
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
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
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.
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CASE STUDY
The Arvedi Group approached the University of Trieste to find a solution to the uneven distribution of material inside the hopper of their blast furnace in Trieste, Italy.
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