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Simulation

overview

Through our material flow simulation, we have already made the potential for process optimisation visible for many customers and subsequently found and implemented customised solutions in reality.

On the basis of feasibility studies, we see which scenarios will achieve the highest performance in your company and what challenges an implementation of these will entail. If you wish, we can also visualise the results of our analysis for you in 3D.

When using transport robotics and automated guided vehicles (AGVs) in intralogistics, it is crucial to analyse the respective task precisely in order to subsequently plan and adapt the system optimally. From the individual vehicle to the control of the entire plant; ek robotics offers a dynamic simulation of your material flows. Complex intralogistic systems can thus be optimally planned and adapted. System limits, bottlenecks, interrelationships, plant modifications and alternative solutions can also be accurately mapped. Our dynamic simulation enables us to plan, display and optimise both AGV-based and AGV-independent systems as well as material flows for you.

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With material flow simulations, we can organise your logistics processes in the best possible way. In this way, we save you costs that can arise from suboptimal planning. Poor planning can be recognised, for example, by unexpectedly deviating system performance, delays in the project sequence or low production capacities. Both the VDI and the Fraunhofer Institute confirm that simulations significantly reduce the costs of new investments.

The costs incurred by non-simulation are significantly higher than the costs of simulation.

On the basis of simulations in 2D or 3D, we can also clearly present complex processes. If required, a simplified or even more detailed presentation is possible. In this way, people from outside the field are able to better understand the systems and raecognise long-term effects through a time-lapse representation.

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With the help of logistics simulations, concepts can be tested quickly and cost-effectively. For example, it is possible to check whether a desired goal can be achieved and by what means. Our realised plants show that the real results are very accurate and more than 90% consistent with the simulated results.