SIMUL8

SIMUL8

Manufacturing systems simulation, process digital twin, performance improvement and optimization

SIMUL8

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:

  • resource utilization level (machines, operators, etc.)
  • inventory levels
  • flow of materials and semi-finished products
  • efficiency of the production system

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.

SIMUL8

Main benefits

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  Build evidence-based manufacturing strategies, proposals and investments

  Explore alternative and design efficient new processes, layouts and facilities with simulation

  Right-size buffers and verify internal logistics performance

  Simulate production planning and control policies

  Discover and test solutions to overcome production bottlenecks, increase throughput and decrease lead time

  Understand multiple challenges through versatile modeling tools approaches, production output, quality

Documentation

brochure

Product brochure

Download the SIMUL8 brochure - English version

SIMUL8

brochure

Analisi di un sistema di produzione con SIMUL8

Scarica il file - Verione italiana

SIMUL8

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Insights

CASE STUDY

Optimizing the Glass Clamping of a Pyrolytic Oven

An appreciable 30 to 40% decrease in stresses

The aim of this study was to find the best quality glass-clamping system, through parametric model optimization, for a new pyrolytic self-cleaning oven by Indesit.

modefrontier optimization consumer-goods appliances

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CASE STUDY

Optimization of an automotive manufacturing system design taking into account regional requirements

Applying CAE to facilitate business CapEx decision making in the automotive manufacturing sector

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

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Our competences in SIMUL8

CASE STUDY

Optimizing the cable routing for a hyper-redundant inspection robot for harsh, hazardous environments

A multi-objective optimization framework to reduce the actuation loads and increase the payload

This article discusses a multi-objective optimization study to determine the optimal matrix for the routing of the actuating cable system in order to minimize the cable load on the robot and maximize the robot’s payload.

optimization modefrontier mechanics electronics

CASE STUDY

Propeller design by means of multiobjective optimization: CP propeller test case

Validatipon of the results by means of an experimental campaign carried out at Genoa University Cavitation Tunnel

Modern propeller requirements involve many different characteristics, not limiting only to maximum efficiency, but considering also propeller cavitating behavior and, more and more, its side effects, in terms of radiated noise and pressure pulses.

marine modefrontier optimization

CASE STUDY

Optimization of the SLM/DMLS process to manufacture an aerodynamic Formula 1 part

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