Project Details
Projekt
INSPIRE: Intelligent Hybrid Decision Support Based on Multi-Modal AI for Product Creation
Subject Area
Engineering Design, Machine Elements, Product Development
Term
since 2024
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 543072266
The proposed INSPIRE project is focused on enhancing hybrid decision-making in product creation by leveraging the potential of multi-modal data originating in engineering and production processes. This project is anchored in two industrial engineering use cases: Printed Circuit Board (PCB) Design and the development of Micro-Gear components for dental tools. In a collaborative effort, Siemens AG and Dentsply Sirona are providing INSPIRE with extensive access to their large repositories of multi-modal data. These engineering cases and their data are critical for analyzing the requirements of engineers in hybrid decision making (in terms of e.g. explainability, reliability, accuracy of hybrid decision support), the development of a new Hybrid Decision Support System (HDSS) based on multi-modal AI and finally the development of integration mechanisms to combine conventional and multi-modal data driven decision making into the product creation processes and IT-tool landscape. Central to the project is the creation of a Multi-Modal AI (MM-AI) system capable of learning from these diverse and complex sets of extreme data. This system leverages extreme data of both engineering cases and shall be able to assist in domain-independent, task-specific engineering decision-making activities. These processes include, but are not limited to, the geometric positioning of components, defining tolerances, and determining manufacturing processes parameters. The innovative MM-AI system aims to develop universal decision-making skills that can be transferred across engineering domains, thereby enhancing the versatility and applicability of HDSS in different engineering contexts. The overarching goal of INSPIRE is to significantly improve decision-making in engineering through this advanced MM-AI-driven HDSS. The demonstrator will showcase the capabilities of the HDSS in real-world engineering scenarios, and will provide insights of how HDSS can be best integrated into product creation processes based on its abilities. Through this approach, INSPIRE aims to have a multiplier effect on the availability and understanding of HDSS, ultimately contributing to more efficient, innovative, and sustainable product creation processes.
DFG Programme
Priority Programmes
Subproject of
SPP 2443:
Hybrid decision support in product creation
Co-Investigator
Dr.-Ing. Florian Stamer
