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AI-Driven Agent-Based Assembly Planning and Optimisation

Project description

Optimising production through integrated digital twins

Manufacturing is under pressure to become more adaptable and efficient, but design and assembly still fall short: data scattered across disconnected PDM, PLM and ERP systems drive up production costs by 20 % and consume up to half of production time. The EIC-funded AI-APOA project aims to close this gap with a digital twin of the design process, unifying CAD, PDM, PLM and ERP data and linking the D-BOM, E-BOM and M-BOM in one framework. Real-time feedback between design and manufacturing will generate interactive 3D assembly instructions, removing sequencing errors. AI-APOA will also track life-cycle data for recycling and resource recovery, shorten employee training and automate documentation.

Objective

The manufacturing process is evolving to meet demands for adaptability and efficiency, but challenges in design and assembly
persist. Decentralized systems like PDM, PLM, and ERP scatter essential data, causing errors and delays, increasing production costs by 20%, and consuming up to 50% of production time. Moreover, the lack of integration between design and manufacturing leads to
inefficiencies, with assembly insights rarely influencing the design phase, contributing to 30-50% of employee costs. Current tools like
DWI and CAP fall short in addressing these issues, leading to outdated instructions and fragmented information, which exacerbate
inefficiencies.
At Assemblio, we are addressing these gaps with our AI-APOA (Assembly Planning and Optimisation Agent), a digital twin of the
design process that integrates data from systems like CAD, PDM, PLM, and ERP into a unified framework. AI-APOA combines the D-
BOM, E-BOM, and M-BOM, allowing real-time modifications and seamless feedback between design and manufacturing. This system
generates interactive 3D assembly instructions, reducing errors and speeding up production , with a reduction in
assembly sequencing mistakes.
AI-APOA also enhances product life-cycle management by tracking detailed data for recycling and resource recovery.
Through AI-driven design capabilities, AI-APOA improves product design efficiency, offering time savings in assembly
planning and cost savings. Additionally, it reduces employee training time and automates documentation, eliminating manual errors.

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Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-EIC-ACC - HORIZON EIC Accelerator

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Call for proposal

(opens in new window) HORIZON-EIC-2025-ACCELERATOR-02

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Coordinator

Assemblio GmbH
Net EU contribution
€ 2 499 999,00
Address
Kreuznacher Str. 58
70372 Stuttgart
Germany
SME
Yes
Region
Baden-Württemberg Stuttgart Stuttgart, Stadtkreis
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Total cost
No data