AI supports factory planning Fraunhofer IFF develops AI assistance system for more efficient planning

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Fraunhofer-Institut für Fabrikbetrieb und -automatisierung IFF

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A new research project led by Fraunhofer IFF is relying on generative artificial intelligence (GenAI) to support factory planners. The system aims to optimize decision-making processes, reduce errors, and eventually be used in structural planning as well.

The development and implementation of new factories is a complex, multi-layered process. From site selection, logistical and technical planning to alignment with regulatory requirements, numerous factors must be considered. This often results in several thousand individual components, whose interactions and efficiency must be carefully examined. Additionally, planning data exists in various formats and systems, which complicates a uniform analysis.

The research project "GenAI4FFD" addresses this: an AI-supported assistance system is intended to support and accelerate the planning processes. It analyzes large amounts of data, generates planning drafts, and helps make informed decisions. The researchers are specifically developing the technology for three central task areas of factory planning:

1. Requirements capture and analysis

A central aspect of factory planning is the systematic capture of all requirements. The assistance system is intended to serve as a mediator between planners and clients, enabling structured communication. In doing so, it not only evaluates existing data but also identifies open questions to complete the planning basis.

2. Factory Design

Based on the captured requirements, the system generates suggestions for the layout and design of production and logistics processes. In doing so, it automatically takes into account legal framework conditions, environmental requirements, and safety regulations. Planners thus receive well-founded decision-making bases already in the early project phases.

3. Model creation and evaluation

To ensure the viability of the planning, designs must undergo an objective evaluation. The AI assistance system supports the implementation of simulation models that reflect the planned structure and process design. This allows for the exploration of different scenarios and the identification of the optimal solution.

Potential for further applications

A decisive advantage of the AI system lies in its flexibility, according to Fraunhofer IFF. The technology is intended not only to be used for factory planning but also to be applicable in other areas of construction planning. Particularly small and medium-sized architectural and engineering firms could benefit from the data-based support. Additionally, the system could help implement new technologies more quickly, such as in battery cell manufacturing or hydrogen production.

The research project "GenAI4FFD" is funded by the Federal Ministry for Economic Affairs and Climate Action and has a duration of three years. In addition to Fraunhofer IFF, numerous companies and scientific partners are involved in the development, including the Otto-von-Guericke University Magdeburg (Germany), Ingenics AG, and Schaeffler Technologies AG & Co. KG. Researchers at Fraunhofer IFF expect that the results of the project will make an important long-term contribution to digitization and increased efficiency in the planning industry. (mc)