Boost efficiency through data-driven AGV planning and simulation tools
Optimize material flow, layout and numbers AGV
Boost efficiency through data-driven AGV planning and simulation tools
Automotive
Electroingenium
Electroingenium is a medium-sized automation engineering company specializing in intralogistics and system integration. They provide consulting, design, and implementation of intelligent material handling solutions enhanced by digital twin technology.
Customer Objectives:
Ensure optimal intralogistics design before physical implementation.
Minimize risks, costs, and commissioning time through early system validation.
Identify the ideal fleet size and layout to meet production strategies.
Improve coordination between suppliers, departments, and integrators involved in the project.
Avoid costly errors and mis-investments caused by trial-and-error decision-making.
Project Type: Greenfield planning and optimization of a future intralogistics system using digital twin technology.
Scope: The end customer, supported by Electroingenium, is planning a new facility in which AMRs will be a key element for ensuring production flexibility. The project focuses on optimizing layout, fleet sizing, and system performance through simulation and virtual commissioning, before any physical implementation.
For this the following Siemens Solutions were used:
Tecnomatix Plant Simulation: Used to digitally model material flow, system layout, and fleet behavior.
Virtual Commissioning: To test and validate control logic and fleet performance in a simulated environment.
Digital Twin of Operations: Allows thorough testing of production strategies, route logic, and exception handling before deployment.
Support: Siemens supported the design and validation phases with simulation expertise
Reduced Time & Cost: Early detection of layout and strategy errors avoids costly on-site rework. Increased Accuracy: Simulation allows data-driven decisions instead of gut feeling.
Improved Safety: Virtual testing reduces risks during physical commissioning.
Higher Efficiency: Optimal fleet sizing and route logic improve overall system performance.
Better Collaboration: Common simulation model aligns AMR vendors, system integrators, and automation teams from the start.