The performance and bottlenecks of a complex production cell were modelled using discrete event simulation in the Siemens Plant Simulation environment. The analysis confirmed that the target of 1.500 parts per day can be safely achieved, while providing accurate optimisation recommendations for system improvement.
With the Multi-Level Digital Twin concept, IDM-Systems Zrt. offers an integrated, future-proof solution for digital twins in production, combining classic virtual commissioning (Digital Asset Twin) and real-time data-driven operation (Operational Twin).
To test the scheduling scenarios of an international core processing plant, a Siemens Plant Simulation-based model was created, which can realistically simulate the operation of WIP bins and material flow using elements of the fluid library. The tool helps to objectively evaluate and optimise daily production schedules based on real data.
A parameterizable simulation environment based on real manufacturing data has helped a domestic automotive manufacturing company to plan the implementation of self-driving mobile robots (AMR).
Our digital manufacturing technologies have resulted in faster commissioning, shorter cycle times, cost reductions and satisfied customers throughout the lifecycle of one of our completed machine building projects.
For a modern shoe factory, we developed a Siemens Plant Simulation-based model that can realistically replay and evaluate daily production schedules based on real data. The tool enables rapid, risk-free testing of scheduling scenarios and data-driven decision making.
We optimised the operation of a factory floor of an international tyre manufacturer with a real data-based, replayable simulation model. The project revealed hidden logistical constraints and provided an opportunity to test improvements without risk.
