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
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%.
digital-manufacturing emulate3d industry4 rockwell

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.
automotive optimization rail-transport modefrontier SIMUL8 iphysics industry4
CASE STUDY
This paper presents the main steps taken in the development phase of the IVECO cab suspension brackets to comply with the new ECE R29 crash regulation for Heavy Commercial Vehicles (HVC).
modefrontier optimization automotive

CASE STUDY
This paper presents the RENAULT F1 Team’s AM process for an aerodynamic insert in titanium Ti6Al4V. Production was optimized by identifying the best orientation for the parts and the best positioning for the support structures in the melting chamber, in addition to using the ANSYS Additive Print module, a simulation software useful for predicting the distortion of a part and for developing a new, 3D, compensated model that guarantees the best “as-built” quality.
automotive additive-manufacturing optimization
CASE STUDY
In this technical article, Fiat Chrysler Automobiles explain how they created a multibody optimization project to identify the optimal values for the powertrain suspension stiffness for a three-cylinder engine in order to minimize the vibrations at idle condition and ensuring greater ride comfort to the passengers.
automotive optimization modefrontier