Virtual commissioning with Siemens Tecnomatix Plant Simulation software solution

Model, simulate, visualize and analyze production systems and logistics processes to optimize material flow and resource utilization for all levels of your plant planning, from global facilities and local plants to specific production lines.

Product information

Model in an object-oriented, 3D simulation environment
Create well-structured, 3D hierarchical models of production facilities, lines and operations for fast and efficient modeling of discrete and continuous manufacturing processes using powerful object-oriented architecture and modeling capabilities.

Build and visualize in 3D using included libraries or external CAD data. Leverage the JT data format for 3D modeling and Siemens direct model technology for efficient loading and realistic visualization of large 3D simulation models without compromising simulation and analysis needs.

Benefit from inheritance and hierarchy
Handle, understand and maintain complex and detailed simulations much better than conventional simulation tools due to the architectural advantages of encapsulation, inheritance and hierarchy.
Model using objects within objects and models within models at all levels of the hierarchy. Items stored in libraries are maintained for all users and changes are automatically applied to all instances of those items wherever they are used. And those library items can be easily configured to specific requirements within a particular simulation.

Take advantage of openness and integration
Leverage an open system architecture to support multiple interfaces and integration capacities, including ActiveX, C, CAD, COM, JSON, MQTT, ODBC, OPCClassic, OPCUA, Oracle SQL, Socket and XML.

Integrate easily with other Siemens software applications like NX Line Designer, Teamcenter, Simcenter HEEDS, Opcenter APS, TIA Portal, PLCSIM Advanced and SIMIT.

Analyze and experiment freely
Enjoy many built-in tools and graphical outputs to assess production system performance, including automatic bottleneck detection; throughput analysis; machine, resource and buffer utilization; energy consumption; cost analysis; Sankey diagrams and Gantt charts.
Use experiment management tools and integrated neural networks to enable comprehensive experiment handling and automated system optimization via genetic algorithms.