Identify bottlenecks in a commissioning center.
Simulation model created with Simio for planning daily operations in the center. The number of employees and forklifts can be determined in advance to fit the current picking load.
Animation objects from SketchUp, sorting of picking list, using experiments to calculate the number of resources needed.
Construction verification and dimensioning of a warehouse.
Simulation model created with Simio. Flexible customization of all the objects in the layout. Testing the final warehouse before its construction begins.
Playing with warehouse size depending on the pallet input quantities, viewing utilization/stock in a number of charts.
Dimensioning with the number of rows and levels, testing the warehouse loading or unloading strategy.
Simulation model created with Simio. Daily stocks and planning orders of arrivals and deliveries are an input to the model.
Flexible ASRS framework allows to build the warehouse with the required number of shelves and rows. Accurate movements in the aisle. Using a dynamic rule to find the best shelf for a pallet.
Determining the optimal usage and number of AGVs to supply assembly lines for an investment decision.
Simulation model created with Simio. The number of AGVs and its speed is analyzed using Simio Experiments.
Animation objects from SketchUp, automatic assignment of an AGV to a task. AGVs deliver a full box then pick an empty box and then drive to the loading area.
Determining the number, speed and movements of AGVs for a scalable warehouse with ASRS.
Simulation model created with Simio. Using the SimulateFirst framework to model the warehouse with ASRS. Flexible AGV network allow for exact control of the AGVs.
Driving an AGV in and out of the loading/unloading bay. Repacking stations retrieve and send pallets back to the warehouse.
Simulation of AGV movements to ensure continuous material supply for all the work areas.
Simulation model created with Visual Components. AGVs with CAD and logic resemble closely the Omron mobile robots.
Logic of the AGVs by Omron integrated, recording of routes per AGV, allocation of containers from utility station to the work areas.
Data-driven simulation of machining stations for automotive small parts. Alternative occupancy of facilities, assembly lines, production with pallets and buffers.
3D-simulation model with Simio. Analyses of buffers, congestion, waiting time, utilization of resources.
Initialization from current data, alternative work cells for a task, using flows to represent parts, interactive analyses.
Simulation of an automated production line with multiple product variants with different processing time in order to realize cycle time optimization and increase utilization.
A robot simulation model in Simio. Quick analyses reveal possible delays in the cycle due to improper parts sequence.
Robot simulation in Simio, turn tables, cycle time for each work cell, data based sequence of stations.
Planning and simulation of a production system with the lot size of 1. Another user application maintains daily production data. Simio imports these and sends the results back to the app.
Development of a user application in .NET and Access, storing the data in the central SQL Server.
Simio binds to SQL Server, Simio works together with a user app, production with lot size of one.
Convince decision makers of the quality of the proposed automation system. The flexible model allows for an interactive customization even during a meeting.
A fast model with experiments that simulates, visualizes and analyses the production flow within a few seconds.
Quick and interactive analyses of KPIs, use of experiments.
Early validation of a control system under load. The simulation model receives requests and replies from the controller, then sends back the status messages after every production step.
A model built in Simio plus an AddOn in .NET allows for continuous communication with the Controller over TCP/IP.
Simio runs in real time; the AddOn receives messages from the controller and passes them on the running model.
A flexible modeling solution for a complete plant with orders, resources, employees, warehouses, means of transport (also AGV or AMHS).
Developed yet prior to Simio in Enterprise Dynamics to create a digital twin of a production and logistics system.
Data based model design in ED, highly parametrized modeling with good animation.
Simulation model with delta robots picking biscuits. Coordination of the picking task between the robots.
Simulation model created with Visual Components. With dynamic algorithms it was possible to achieve a higher pick rate and reduce the number of needed robots.
Delta robots pass messages between each other to let know which biscuit is going to be picked by which robot.
Simulate the way different robot types work with each other and coordinate them.
Simulation model created with Visual Components. The functions of the robots become clearly visible.
More than 1000 predefined robots such as Kuka, ABB, Stäubli, Fanuc, Motoman, Kawassaki can be integrated; Exported as 3D PDF.
We combine mathematical process optimization with 3D simulation. The process flow, which is calculated almost optimally but with little room for deviations, is tested dynamically for different disturbances in a simulation model. This allows to answer valid "what if?" questions and update the optimization algorithms and production plans before they are passed to the real systems.
The picture shows an automatic system with handling robots that move products one after another. It was important to maintain short time tolerances at each station on one side and to increase the number of parts in processing on another side.
Some specific junctions in Freiburg causes long waiting time. The cycle time of the traffic lights and alternative routes for redirection need to be analyzed.
A model of the traffic network with relevant traffic. Numbers of vehicles and cycle times added.
Control of cycle times possible, traffic lights visible, Dashboards for valuation integrated, effects on waiting time fast and at any time available.
Determine the cycle time of trains that an optimal utilization occurs depending on demand. Scenarios with higher number of trains, shorter cycle time and safe stop operation.
Rail network created according to layout. Trains equipped with seats and standing places. Number of trains and distances to operate with are flexible.
Turn arounds, no collision, keeping distance between trains at any time.
Simulate movements of AGVs guideways. no double order reservation, AGVs deliver and pick boxes in time.
Simulation model created with Simio. The number of AGVs and its speed is analyzed using Simio Experiments. No lack of boxes, no waste of time or movements.
Animation objects from SketchUp, automatic assignment of an AGV to a task, AGVs deliver a full box then pick an empty box and then drive to the loading area, waiting time included.
Detecting errors, deadlocks and collisions in the automated system as well as inefficient processes at an early stage and testing improvements
Robot simulation with Visual Components, incl offline programming of multiple robots, collision testing.
Offline programming of the robots, checking the robot sequence for collisions, tact time reduction.
A digital twin of the assembly area at a car manufacturer for a continuous improvement of the production flow and increase in throughput as early as possible to save costs.
Digital twin in Simio, with data imports for product requirements, routing, WIP and production plan, analyzes of KPIs.
Relational data structure, update of the model at the start, output results shown as Gantt and dashboards.
Simulation of numerous machining stations, ASRS; employees, buffers and robots to illustrate the process steps and the project environment.
3D simulation model created with Visual Components. Analysis of danger zones, congestion and collisions.
Detailed simulation of multiple robot brands in one system (see also robot simulation).
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