# Manufacturing & Production ### Industrial Digital Twins for Simulating Robot Fleets {% embed url="" %} ### Case: Bosch Bosch is revolutionizing manufacturing quality control by using generative AI to create synthetic images of defective parts. This innovative approach addresses the challenge of obtaining enough real images of faulty components, especially for new product lines. At their Hildesheim plant, Bosch implemented this technology to inspect stators, crucial components in electric motors. The AI-based system, trained on both real and artificially generated images, can detect defects with nearly 100% accuracy, significantly outperforming human inspectors. This method has reduced project duration by six months and is expected to increase annual productivity by hundreds of thousands of euros1. Bosch plans to expand this technology to other plants globally, as it represents a major advancement in improving manufacturing efficiency and quality. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.aiandbusiness.com/by-industry-cases/supply-chain/manufacturing-and-production.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.