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
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 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
CASE STUDY
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.
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CASE STUDY
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