SIMUL8
Manufacturing systems simulation, process digital twin, performance improvement and optimization
SIMUL8 is a product of SIMUL8 Corporation.
SIMUL8 is a product of SIMUL8 Corporation.
SIMUL8 is a software for modeling, simulating, analyzing and optimizing the system-level performance of production systems during their design, reconfiguration and production planning phases. The simulation building blocks allow to create accurate system models of complex system architectures, such as production lines, job shops, robotics cells, assembly systems and complex product flows.
SIMUL8 supports a wide range of scale and complexity of manufacturing systems modeling: rapidly create a preliminary model requires limited information e.g. from a process list and from the 2D layout of the plant, and progressively detail the simulation as needed. Simulation models can be adapted according to the manufacturing system type (discrete events, agent-based, continuous and hybrid simulations).
SIMUL8 provides decision makers with critical information, such as:
Simulation models can be easily connected to optimization algorithms by considering output objectives (throughput, quality yield), and constraints (machine capacities, failure rates, shift patterns, and other factors affecting the total performance and efficiency of production systems).
Therefore, SIMUL8 allows to evaluate the effect of different scheduling policies, batch and production flow management and operators, maintenance policies, the impact of system modification interventions (modification of the layout, replacement of machinery, interventions aimed at reducing the average return time of certain events, etc.), evaluate the effect of launching new products variants, etc. and to identify the best tradeoff solutions in the face of conflicting objectives (e.g. costs vs. productivity).
Simulations are visual and animated, allowing to easily verify what’s happening in a process as time progresses. Web-based simulation: seamlessly build, run and share simulations and results between SIMUL8 web browser and desktop editions.
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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 this case study, EnginSoft engineers explain how they used modeFRONTIER to assist Comau, a Fiat Chrysler subsidiary, to optimize their approach to the preliminary design of production systems for automotive manufacturing system RFQs.
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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
This detailed technical case study describes how the students arrived at a supersonic aircraft drone prototype using MATLAB and modeFRONTIER in order to reduce the time and costs of numerical and wind-tunnel testing.
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CASE STUDY
At this particular moment in time, this article wishes to reflect on the evolution of CAE and simulation in an effort to present a big-picture view when most of us are daily dealing with all the devil in the details in every aspect of our lives. We approached some long-standing business friends in engineering simulation from various regions around the world to help us in this task
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