This project provides a framework for analyzing and understanding the production process of a gigafactory that manufactures a product at scale (e.g. batteries). It combines synthetic data generation with process mining techniques to identify bottlenecks, rework loops, and potential areas for optimisation.

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This project provides a framework for analyzing and understanding the production process of a gigafactory that manufactures a product at scale (e.g. batteries). It combines synthetic data generation with process mining techniques to identify bottlenecks, rework loops, and potential areas for optimisation.

Python