Concept of an Initial Requirements-Driven Factory Layout Planning and Synthetic Expert Verification for Industrial Simulation Based on LLM

The value added by virtual commissioning of in-dustrial production systems is evident through significant cost savings achieved via early error detection. Detecting errors early in the development process enhances project success. However, the development of simulation models is associated with manual effort, particularly during the early phases of the project when it comes to creating the first models. To reduce costs and increase automation in the redesign of simulation models, a novel concept is presented that automatically transforms unstructured customer requirements into initial model placeholders within a simulation environment. The approach employs a large language model to identify necessary processes and machines, estimating their dimensions and positioning them relative to each other. The output is then converted to a simulation model format and imported into a simulation environment for further refinement. To verify the solution, a synthetic expert, trained using a large language model, learns the probability correlations between plant types, machines, and processes, thereby enabling a more accurate assessment of the resulting simulation model.